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ORCIDCoRR, April 2025
Volume 2025-04, April 2025
- Shubham Malhotra:
HistogramTools for Efficient Data Analysis and Distribution Representation in Large Data Sets. - Xiao Yan, Yi Ding:
Are We There Yet? A Measurement Study of Efficiency for LLM Applications on Mobile Devices. - Yinchuan Li, Guangchen Lan, Xiaodong Wang:
Tensor Generalized Approximate Message Passing. - Yuyao Zhang, Jinghao Li, Yu-Wing Tai:
LayerCraft: Enhancing Text-to-Image Generation with CoT Reasoning and Layered Object Integration. - Paul Martin, Sarah Jane Mercer:
I'm Sorry Dave: How the old world of personnel security can inform the new world of AI insider risk. - Joachim Baumeister, Susana Hahn, Konstantin Herud, Max Ostrowski, Jochen Reutelshöfer, Nicolas Rühling, Torsten Schaub, Philipp Wanko:
Towards Industrial-scale Product Configuration. - Birger Moëll, Fredrik Sand Aronsson, Sanian Akbar:
Medical Reasoning in LLMs: An In-Depth Analysis of DeepSeek R1. - Artemii Redkin, Zdravko Dugonjic, Mike Lambeta, Roberto Calandra:
Enhance Vision-based Tactile Sensors via Dynamic Illumination and Image Fusion. - Rafiqul Rabin, Jesse Hostetler, Sean McGregor, Brett Weir, Nick Judd:
SandboxEval: Towards Securing Test Environment for Untrusted Code. - Indraneil Paul, Haoyi Yang, Goran Glavas, Kristian Kersting, Iryna Gurevych:
ObscuraCoder: Powering Efficient Code LM Pre-Training Via Obfuscation Grounding. - Rahul Raja, Arpita Vats:
FUSE : A Ridge and Random Forest-Based Metric for Evaluating MT in Indigenous Languages. - Niklas Rottmayer, Claudia Redenbach:
A Novel Distance-Based Metric for Quality Assessment in Image Segmentation. - Uwe Peters, Benjamin Chin-Yee:
Generalization Bias in Large Language Model Summarization of Scientific Research. - Grigori Sidorov, Muhammad Ahmad, Iqra Ameer, Muhammad Usman, Ildar Z. Batyrshin:
Opioid Named Entity Recognition (ONER-2025) from Reddit. - Deepeka Garg, Sihan Zeng, Sumitra Ganesh, Leo Ardon:
Generating Structured Plan Representation of Procedures with LLMs. - Aayush Gautam, Susav Shrestha, Narasimha Reddy:
Token-Driven GammaTune: Adaptive Calibration for Enhanced Speculative Decoding. - Ryan Marinelli, Magnus Eckhoff:
Leaking LoRa: An Evaluation of Password Leaks and Knowledge Storage in Large Language Models. - Qingmeng Wen, Yu-Kun Lai, Ze Ji, Seyed Amir Tafrishi:
Skeletonization Quality Evaluation: Geometric Metrics for Point Cloud Analysis in Robotics. - Ziwei Zhang, Juan Wen, Wanli Peng, Zhengxian Wu, Yinghan Zhou, Yiming Xue:
MiZero: The Shadowy Defender Against Text Style Infringements. - Guoyizhe Wei, Rama Chellappa:
ViT-Linearizer: Distilling Quadratic Knowledge into Linear-Time Vision Models. - Mingwei Zhou, Xiaobing Pei:
Revisiting the Relationship between Adversarial and Clean Training: Why Clean Training Can Make Adversarial Training Better. - Jurek Eisinger, Ward Gauderis, Lin de Huybrecht, Geraint A. Wiggins:
Quantum Methods for Managing Ambiguity in Natural Language Processing. - J. V. S. Souza, Caio Barbosa Vieira da Silva, George D. C. Cavalcanti, Rafael M. O. Cruz:
Imbalanced malware classification: an approach based on dynamic classifier selection. - Agam Shah, Liqin Ye, Sebastian Jaskowski, Wei Xu, Sudheer Chava:
Beyond the Reported Cutoff: Where Large Language Models Fall Short on Financial Knowledge. - Jixuan Leng, Chengsong Huang, Langlin Huang, Bill Yuchen Lin, William W. Cohen, Haohan Wang, Jiaxin Huang:
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation. - Riccardo Cantini, Fabrizio Marozzo, Alessio Orsino, Domenico Talia, Paolo Trunfio:
Dynamic hashtag recommendation in social media with trend shift detection and adaptation. - Adrian Bermudez-Villalva, Maryam Mehrnezhad, Ehsan Toreini:
Measuring Online Hate on 4chan using Pre-trained Deep Learning Models. - Loris Belcastro, Cristian Cosentino, Fabrizio Marozzo, Merve Gündüz-Cüre, Sule Öztürk-Birim:
Multi-Stakeholder Disaster Insights from Social Media Using Large Language Models. - Cong Duy Vu Hoang, Gioacchino Tangari, Clémence Lanfranchi, Dalu Guo, Paul Cayet, Steve Siu, Don Dharmasiri, Yuan-Fang Li, Long Duong, Damien Hilloulin, Rhicheek Patra, Sungpack Hong, Hassan Chafi:
Distill-C: Enhanced NL2SQL via Distilled Customization with LLMs. - Nuo Chen, Zhiyuan Hu, Qingyun Zou, Jiaying Wu, Qian Wang, Bryan Hooi, Bingsheng He:
JudgeLRM: Large Reasoning Models as a Judge. - Sam Greydanus, Zachary Wimpee:
The Cursive Transformer. - Jie Pan, Seungwon Lee, Cheligeer Cheligeer, Elliot A. Martin, Kiarash Riazi, Hude Quan, Na Li:
Integrating Large Language Models with Human Expertise for Disease Detection in Electronic Health Records. - Lahiru Akmeemana, Chamodya Attanayake, Husni Faiz, Sandareka Wickramanayake:
GAL-MAD: Towards Explainable Anomaly Detection in Microservice Applications Using Graph Attention Networks. - Vítor Cerqueira, Luis Roque, Carlos Soares:
ModelRadar: Aspect-based Forecast Evaluation. - Hongjie He, Xu Pan, Yudong Yao:
CF-CAM: Cluster Filter Class Activation Mapping for Reliable Gradient-Based Interpretability. - Dou Liu, Ying Long, Sophia Zuoqiu, Tian Tang, Rong Yin:
Evaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology. - Harim Yoo:
The Axiom-Based Atlas: A Structural Mapping of Theorems via Foundational Proof Vectors. - Cosimo Laneve, Alvise Spanò, Dalila Ressi, Sabina Rossi, Michele Bugliesi:
Assessing Code Understanding in LLMs. - Josué Corujo, Paul Horn, Pablo Pérez-Lantero:
Matching random colored points with rectangles (Corrigendum). - Sanjay Chakraborty, Fredrik Heintz:
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting. - Sanjay Chakraborty, Fredrik Heintz:
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers. - Ujun Jeong, Lynnette Hui Xian Ng, Kathleen M. Carley, Huan Liu:
Navigating Decentralized Online Social Networks: An Overview of Technical and Societal Challenges in Architectural Choices. - Lucas Ventura, Antoine Yang, Cordelia Schmid, Gül Varol:
Chapter-Llama: Efficient Chaptering in Hour-Long Videos with LLMs. - Richard J. Tong, Marina Cortês, Jeanine A. DeFalco, Mark Underwood, Janusz Zalewski:
A First-Principles Based Risk Assessment Framework and the IEEE P3396 Standard. - Shiyue Zhao, Junzhi Zhang, Neda Masoud, Heye Huang, Xingpeng Xia, Chengkun He:
SACA: A Scenario-Aware Collision Avoidance Framework for Autonomous Vehicles Integrating LLMs-Driven Reasoning. - Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan:
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting. - Xavier Mootoo, Hina Tabassum, Luca Chiaraviglio:
EMForecaster: A Deep Learning Framework for Time Series Forecasting in Wireless Networks with Distribution-Free Uncertainty Quantification. - Ahsan Bilal, David Ebert, Beiyu Lin:
LLMs for Explainable AI: A Comprehensive Survey. - Brenner S. Rego, Guilherme V. Raffo, Marco H. Terra, Joseph K. Scott:
Set-based state estimation of nonlinear discrete-time systems using constrained zonotopes and polyhedral relaxations. - Aleksandra Bakalova, Yana Veitsman, Xinting Huang, Michael Hahn:
Contextualize-then-Aggregate: Circuits for In-Context Learning in Gemma-2 2B. - Mattia Scarpa, Francesco Pase, Ruggero Carli, Mattia Bruschetta, Francesco Toso:
Data-driven Power Loss Identification through Physics-Based Thermal Model Backpropagation. - Ju Yong Lee, Seung-Won Keum, Sang Min Oh, Dang-Oh Kim, Dong-Ho Cho:
Performance analysis of metasurface-based spatial multimode transmission for 6G wireless communications. - Yannick Burkhardt, Simon Schaefer, Stefan Leutenegger:
SuperEvent: Cross-Modal Learning of Event-based Keypoint Detection. - Srinitish Srinivasan, Omkumar CU:
Lorentzian Graph Isomorphic Network. - Tudor-Stefan Cotet, Igor Krawczuk:
Why risk matters for protein binder design. - Collin Zhang, John X. Morris, Vitaly Shmatikov:
Universal Zero-shot Embedding Inversion. - Masato Tamura:
Towards Precise Action Spotting: Addressing Temporal Misalignment in Labels with Dynamic Label Assignment. - Yongyi Shi, Ge Wang:
Few-Shot Generation of Brain Tumors for Secure and Fair Data Sharing. - Caleb Helbling, Graham Leach-Krouse, Sam Lasser, Greg Sullivan:
cozy: Comparative Symbolic Execution for Binary Programs. - Leo Tunkle, Kamal Abdulraheem, Linyu Lin, Majdi I. Radaideh:
Nuclear Microreactor Control with Deep Reinforcement Learning. - Advaith Venkatramanan Sethuraman, Max Rucker, Onur Bagoren, Pou-Chun Kung, Nibarkavi N. B. Amutha, Katherine A. Skinner:
SonarSplat: Novel View Synthesis of Imaging Sonar via Gaussian Splatting. - Derrick M. Wang, Sebastian Cmentowski, Reza Hadi Mogavi, Kaushall Senthil Nathan, Eugene Y. Kukshinov, Joseph Tu, Lennart E. Nacke:
From Solo to Social: Exploring the Dynamics of Player Cooperation in a Co-located Cooperative Exergame. - Suzanne Stathatos, Michael Hobley, Markus Marks, Pietro Perona:
SAVeD: Learning to Denoise Low-SNR Video for Improved Downstream Performance. - Yilin Qi, Dong Won Lee, Cynthia Breazeal, Hae-Won Park:
Does "Reasoning" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts? - Teresa Sinico, Giovanni Boschetti, Pedro Neto:
Enhancing Physical Human-Robot Interaction: Recognizing Digits via Intrinsic Robot Tactile Sensing. - Hengrui Jia, Sierra Calanda Wyllie, Akram Bin Sediq, Ahmed Ibrahim, Nicolas Papernot:
Backdoor Detection through Replicated Execution of Outsourced Training. - Sijia Li, Young D. Kwon, Lik-Hang Lee, Pan Hui:
MetaCLBench: Meta Continual Learning Benchmark on Resource-Constrained Edge Devices. - Marco Canducci, Lida Abdi, Alessandro Prete, Roland J. Veen, Michael Biehl, Wiebke Arlt, Peter Tino:
Discriminative Subspace Emersion from learning feature relevances across different populations. - Craig W. Schmidt, Varshini Reddy, Chris Tanner, Yuval Pinter:
Boundless Byte Pair Encoding: Breaking the Pre-tokenization Barrier. - Vignesh Gokul, Srikanth Tenneti, Alwarappan Nakkiran:
Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency. - Zhaolin Wang, Chongjun Ouyang, Yuanwei Liu:
Beamforming Design for Continuous Aperture Array (CAPA)-Based MIMO Systems. - Atharva Sehgal, Patrick Yuan, Ziniu Hu, Yisong Yue, Jennifer J. Sun, Swarat Chaudhuri:
Self-Evolving Visual Concept Library using Vision-Language Critics. - Olawale Salaudeen, Nicole Chiou, Shiny Weng, Sanmi Koyejo:
Are Domain Generalization Benchmarks with Accuracy on the Line Misspecified? - Pouya Pezeshkpour, Estevam Hruschka:
Insight-RAG: Enhancing LLMs with Insight-Driven Augmentation. - Lin Zhao, Xin Yu, Yikang Liu, Xiao Chen, Eric Z. Chen, Terrence Chen, Shanhui Sun:
Leveraging Diffusion Model and Image Foundation Model for Improved Correspondence Matching in Coronary Angiography. - Brianna Chrisman, Lucius Bushnaq, Lee Sharkey:
Identifying Sparsely Active Circuits Through Local Loss Landscape Decomposition. - Lukas Schwenkel, Johannes Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Output-feedback model predictive control under dynamic uncertainties using integral quadratic constraints. - Savinay Nagendra, Kashif Rashid:
SmartScan: An AI-based Interactive Framework for Automated Region Extraction from Satellite Images. - Rustam Tagiew, Ilkay Wunderlich, Mark Sastuba, Steffen Seitz:
RailGoerl24: Görlitz Rail Test Center CV Dataset 2024. - Rui Shi, Seda Ogrenci:
SPRING: Systematic Profiling of Randomly Interconnected Neural Networks Generated by HLS. - Xiaowei Pang, Jun Wang:
A new iterated Tikhonov regularization method for Fredholm integral equation of first kind. - Rana Muhammad Shahroz Khan, Zhen Tan, Sukwon Yun, Charles Flemming, Tianlong Chen:
Agents Under Siege: Breaking Pragmatic Multi-Agent LLM Systems with Optimized Prompt Attacks. - Han Zhou, Wei Dong, Jun Chen:
LITA-GS: Illumination-Agnostic Novel View Synthesis via Reference-Free 3D Gaussian Splatting and Physical Priors. - Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong, Yuan Gong, Jiaqi Zhang, Brian H. Tracey, Katerina Placek, Marco Vilela, James R. Glass:
Can Diffusion Models Disentangle? A Theoretical Perspective. - Jun Rekimoto:
GazeLLM: Multimodal LLMs incorporating Human Visual Attention. - Curtis C. Johnson, Daniel G. Cheney, Dallin L. Cordon, Marc D. Killpack:
PneuDrive: An Embedded Pressure Control System and Modeling Toolkit for Large-Scale Soft Robots. - Duy Nhat Phan, Alexander B. Morgan, Lokendra Poudel, Rahul Bhowmik:
A machine learning platform for development of low flammability polymers. - Matthias Köhler, Matthias Albrecht Müller, Frank Allgöwer:
Distributed Model Predictive Control for Dynamic Cooperation of Multi-Agent Systems. - Roussel Rahman:
Large Language Models in Numberland: A Quick Test of Their Numerical Reasoning Abilities. - David Le, Ramon L. Correa-Medero, Amara Tariq, Bhavik N. Patel, Motoyo Yano, Imon Banerjee:
Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports. - Kyriakos Stylianopoulos, Paolo Di Lorenzo, George C. Alexandropoulos:
Over-the-Air Edge Inference via End-to-End Metasurfaces-Integrated Artificial Neural Networks. - Yifan Wu, Zhiyang Dou, Yuko Ishiwaka, Shun Ogawa, Yuke Lou, Wenping Wang, Lingjie Liu, Taku Komura:
CBIL: Collective Behavior Imitation Learning for Fish from Real Videos. - Darshan Gadginmath, Fabio Pasqualetti:
Dynamics-aware Diffusion Models for Planning and Control. - Rabimba Karanjai, Boris Shor, Amanda Austin, Ryan Kennedy, Yang Lu, Lei Xu, Weidong Shi:
Synthesizing Public Opinions with LLMs: Role Creation, Impacts, and the Future to eDemorcacy. - Ole Hans, Jürgen Adamy:
Learning from Disengagements: An Analysis of Safety Driver Interventions during Remote Driving. - S. Mazdak Abulnaga, Andrew Hoopes, Neel Dey, Malte Hoffmann, Marianne Rakic, Bruce Fischl, John V. Guttag, Adrian V. Dalca:
MultiMorph: On-demand Atlas Construction. - Huandong Chang, Zicheng Ma, Mingyuan Ma, Zhenting Qi, Andrew Sabot, Hong Jiang, H. T. Kung:
ElaLoRA: Elastic & Learnable Low-Rank Adaptation for Efficient Model Fine-Tuning. - Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, Lin Gui, Yulan He:
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers. - Magnus O. Myreen, Mario Carneiro:
GOL in GOL in HOL: Verified Circuits in Conway's Game of Life. - Mikhail Krasitskii, Grigori Sidorov, Olga Kolesnikova, Liliana Chanona-Hernández, Alexander F. Gelbukh:
Multilingual Sentiment Analysis of Summarized Texts: A Cross-Language Study of Text Shortening Effects. - Tianqi Ding, Dawei Xiang, Yijiashun Qi, Ze Yang, Zunduo Zhao, Tianyao Sun, Pengbin Feng, Haoyu Wang:
NeRF-Based defect detection. - Joshua Rodriguez, Om Sanan, Guillermo Vizarreta-Luna, Steven A. Conrad:
Text Chunking for Document Classification for Urban System Management using Large Language Models. - E. Javier Olucha, Rajiv Singh, Amritam Das, Roland Tóth:
On-the-fly Surrogation for Complex Nonlinear Dynamics. - Chang-Lin Chen, Jiayu Chen, Tian Lan, Zhaoxia Zhao, Hongbo Dong, Vaneet Aggarwal:
Rack Position Optimization in Large-Scale Heterogeneous Data Centers. - Jonathan Conroy, Arnold Filtser:
How to Protect Yourself from Threatening Skeletons: Optimal Padded Decompositions for Minor-Free Graphs. - Gunbir Singh Baveja:
Exploration and Adaptation in Non-Stationary Tasks with Diffusion Policies. - Yiwei Zhang, Jie Liu, Jiawei Wang, Lu Dai, Fan Guo, Guohui Cai:
Federated Learning for Cross-Domain Data Privacy: A Distributed Approach to Secure Collaboration. - Samuel M. Taylor, Benjamin K. Bergen:
Do Large Language Models Exhibit Spontaneous Rational Deception? - Mohammed Aatif Shahab, Francesco Destro, Richard D. Braatz:
Digital Twins in Biopharmaceutical Manufacturing: Review and Perspective on Human-Machine Collaborative Intelligence. - Qiuliuyang Bao, Jiawei Wang, Hao Gong, Yiwei Zhang, Xiaojun Guo, Hanrui Feng:
A Deep Learning Approach to Anomaly Detection in High-Frequency Trading Data. - Andrea W. Wen-Yi, Unso Eun Seo Jo, David Mimno:
Do Chinese models speak Chinese languages? - Amir M. Mirzendehdel, Morad Behandish:
Co-design Optimization of Moving Parts for Compliance and Collision Avoidance. - Vidhisha Balachandran, Jingya Chen, Lingjiao Chen, Shivam Garg, Neel Joshi, Yash Lara, John Langford, Besmira Nushi, Vibhav Vineet, Yue Wu, Safoora Yousefi:
Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead. - Gustave Bainier, Alessio Franci:
Directional excitability in Hilbert spaces. - Koffka Khan:
Time-Reversal Symmetry in Quantum Wireless Sensor Networks. - Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang:
Collaborative LLM Numerical Reasoning with Local Data Protection. - Abhigyan Majumdar, Navid Mojahed, Shima Nazari:
Inverted Gaussian Process Optimization for Nonparametric Koopman Operator Discovery. - Muhammad Tahir, Shehroz S. Khan, James R. Davie, Soichiro Yamanaka, Ahmed Ashraf:
LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions. - Michael Aich, Sebastian Bathiany, Philipp Hess, Yu Huang, Niklas Boers:
Diffusion models for probabilistic precipitation generation from atmospheric variables. - Haonan Wang, Zeli Liu, Kajimusugura Hoshino, Tuo Zhang, John Paul Walters, Stephen P. Crago:
FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization. - Rajeev Kumar, Harishankar Kumar, Kumari Shalini:
Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training. - Yuvraj Singh, Adithya Jayakumar, Giorgio Rizzoni:
An Iterative Algorithm to Symbolically Derive Generalized n-Trailer Vehicle Kinematics. - Dylan Bumford, Simon Charlow:
Effect-driven interpretation: Functors for natural language composition. - Feng Pan:
SAT problem and Limit of Solomonoff's inductive reasoning theory. - Jinyi Qiu, Aydin Aysu:
SHIFT SNARE: Uncovering Secret Keys in FALCON via Single-Trace Analysis. - Oscar Jed Chuy, Matthew T. Hale, Ricardo G. Sanfelice:
A Hybrid Systems Model of Feedback Optimization for Linear Systems. - Boris Faleichik, Andrew Moisa:
Explicit Runge-Kutta-Chebyshev methods of second order with monotonic stability polynomial. - Xiaobo Liu:
A note on the cross matrices. - Jongha Lee, Taehyung Kwon, Heechan Moon, Kijung Shin:
Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts. - Lianlong Sun, Matthew X. Burns, Michael C. Huang:
Enhancing Oscillator-Based Ising Machine Models with Amplitude Dynamics and Polynomial Interactions. - Gehao Wang, Yuexin Yu:
Stability analysis of Runge-Kutta methods for nonlinear Volterra delay-integro-differential-algebraic equations. - Alexandre L. S. Filipowicz, David A. Shamma, Vikram Mohanty, Candice L. Hogan:
Demystifying CO2: lessons from nutrition labeling and step counting. - Kerui Wu, Ziyue Zhao, Bülent Yener:
SeizureTransformer: Scaling U-Net with Transformer for Simultaneous Time-Step Level Seizure Detection from Long EEG Recordings. - ByungMin Kim, Dongheun Han, HyeongYeop Kang:
Shaping the Future of VR Hand Interactions: Lessons Learned from Modern Methods. - Sakhinana Sagar Srinivas, Akash Das, Shivam Gupta, Venkataramana Runkana:
Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising Framework. - Hoang Hai Phan, Nguyen Duc Minh Vu, Nam Dang Phuong:
VNJPTranslate: A comprehensive pipeline for Vietnamese-Japanese translation. - Xiaojiang Zhang, Xuemin Bai, Min Tang:
A deterministic solver for the linear Boltzmann model of a single mono-directional proton beam. - Joshua Moore, Aly Sabri Abdalla, Prabesh Khanal, Vuk Marojevic:
Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments. - Anjian Li, Ryne Beeson:
Aligning Diffusion Model with Problem Constraints for Trajectory Optimization. - Timo Spinde, Luyang Lin, Smi Hinterreiter, Isao Echizen:
Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias. - Dor Minzer, Kai Zhe Zheng:
Improved Round-by-round Soundness IOPs via Reed-Muller Codes. - Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh:
Transductive One-Shot Learning Meet Subspace Decomposition. - Thomas Bailie, Yun Sing Koh, S. Karthik Mukkavilli, Varvara Vetrova:
Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks. - Fan-Hao Lin, Tzu-Hao Huang, Chao-Kai Wen, Trung Q. Duong:
Geo2ComMap: Deep Learning-Based MIMO Throughput Prediction Using Geographic Data. - Kaier Liang, Guang Yang, Mingyu Cai, Cristian-Ioan Vasile:
Safe Navigation in Dynamic Environments Using Data-Driven Koopman Operators and Conformal Prediction. - Ting Liu, Siyuan Li:
Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image Segmentation. - Yi-Hsuan Chen, Shuo Liu, Wei Xiao, Calin Belta, Michael Otte:
Control Barrier Functions via Minkowski Operations for Safe Navigation among Polytopic Sets. - Hilda Hadan, Leah Zhang-Kennedy, Lennart E. Nacke:
Computer-based Deceptive Game Design in Commercial Virtual Reality Games: A Preliminary Investigation. - Yongyi Zang, Sean O'Brien, Taylor Berg-Kirkpatrick, Julian J. McAuley, Zachary Novack:
Are you really listening? Boosting Perceptual Awareness in Music-QA Benchmarks. - Tiantian Xie, Pengpai Wang, Rosa H. M. Chan:
Spatiotemporal Attention Learning Framework for Event-Driven Object Recognition. - Tobias Rau, Tobias Isenberg, Andreas Köhn, Michael Sedlmair, Benjamin Lee:
Traversing Dual Realities: Investigating Techniques for Transitioning 3D Objects between Desktop and Augmented Reality Environments. - Mahak Agarwal, Divyam Khanna:
When Persuasion Overrides Truth in Multi-Agent LLM Debates: Introducing a Confidence-Weighted Persuasion Override Rate (CW-POR). - Xin Zhang, Keren Fu, Qijun Zhao:
CamoSAM2: Motion-Appearance Induced Auto-Refining Prompts for Video Camouflaged Object Detection. - Jinho Yang, Hyeongtaek Lee, Junil Choi:
Robust Transmission Design for Active RIS-Aided Systems. - Hou-Wan Long, On-In Ho, Qi-Qiao He, Yain-Whar Si:
Transfer Learning in Financial Time Series with Gramian Angular Field. - Zhiyuan Zhang, Xiaofan Li, Zhihao Xu, Wenjie Peng, Zijian Zhou, Miaojing Shi, Shuangping Huang:
MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving. - Yang Hai, Guo Wang, Tan Su, Wenjie Jiang, Yinlin Hu:
Hierarchical Flow Diffusion for Efficient Frame Interpolation. - Wanjing Zhang, Chenxing Wang:
Intrinsic-feature-guided 3D Object Detection. - Yifan Liu, Jiancheng Huang, Na Liu, Mingfu Yan, Yi Huang, Shifeng Chen:
Leveraging Contrast Information for Efficient Document Shadow Removal. - Zilong Huang, Jun He, Junyan Ye, Lihan Jiang, Weijia Li, Yiping Chen, Ting Han:
Scene4U: Hierarchical Layered 3D Scene Reconstruction from Single Panoramic Image for Your Immerse Exploration. - Marinus Ferreira:
Using complex prompts to identify fine-grained biases in image generation through ChatGPT-4o. - Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Yuli Deng, Ying-Chih Chen, Huan Liu:
CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented Generation. - Jiapeng Liu, Lunte Li, Jing Xiang, Laiyong Xie, Yuhao Wang, Francesco Ciucci:
Deep learning for state estimation of commercial sodium-ion batteries using partial charging profiles: validation with a multi-temperature ageing dataset. - Lei Wang, Yujie Zhong, Xiaopeng Sun, Jingchun Cheng, Chengjian Feng, Qiong Cao, Lin Ma, Zhaoxin Fan:
AP-CAP: Advancing High-Quality Data Synthesis for Animal Pose Estimation via a Controllable Image Generation Pipeline. - Canlin Zhang, Xiuwen Liu:
Minimum Description Length of a Spectrum Variational Autoencoder: A Theory. - Xiaole Xian, Zhichao Liao, Qingyu Li, Wenyu Qin, Pengfei Wan, Weicheng Xie, Long Zeng, Linlin Shen, Pingfa Feng:
SPF-Portrait: Towards Pure Portrait Customization with Semantic Pollution-Free Fine-tuning. - Gilbert Bahati, Ryan K. Cosner, Max H. Cohen, Ryan M. Bena, Aaron D. Ames:
Control Barrier Function Synthesis for Nonlinear Systems with Dual Relative Degree. - Haodian Wang, Yaqi Song:
Adaptive Low Light Enhancement via Joint Global-Local Illumination Adjustment. - Wenbo Nie, Lang Nie, Chunyu Lin, Jingwen Chen, Ke Xing, Jiyuan Wang, Yao Zhao:
Beyond Wide-Angle Images: Unsupervised Video Portrait Correction via Spatiotemporal Diffusion Adaptation. - Stephen M. McGovern:
Adaptive Step Selection for a Filtered Implicit Method. - Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi:
VerifiAgent: a Unified Verification Agent in Language Model Reasoning. - Guilin Zhang, Wulan Guo, Ziqi Tan, Hailong Jiang:
AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments. - Ruben Weijers, Denton Wu, Hannah Betts, Tamara Jacod, Yuxiang Guan, Vidya Sujaya, Kushal Dev, Toshali Goel, William Delooze, Reihaneh Rabbany, Ying Wu, Jean-François Godbout, Kellin Pelrine:
From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions. - Mohanakrishnan Hariharan:
Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding. - Dongwoo Park, Suk Pil Ko:
NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior. - Mingqian Feng, Zeliang Zhang, Jinyang Jiang, Yijie Peng, Chenliang Xu:
Forward Learning with Differential Privacy. - Alexander M. Sidorkin:
Form-Substance Discrimination: Concept, Cognition, and Pedagogy. - Gavin Greif, Niclas Griesshaber, Robin Greif:
Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical Documents. - Trevor Barron, Xiaojing Zhang:
Interpreting and Improving Optimal Control Problems with Directional Corrections. - A. K. Subudhi, Alex Piccioni, Venkateswarlu Gudepu, Andrea Marotta, Fabio Graziosi, R. M. Hegde, Koteswararao Kondepu:
Performance Evaluation of Scheduling Scheme in O-RAN 5G Network using NS-3. - Yuanqi Yao, Siao Liu, Haoming Song, Delin Qu, Qizhi Chen, Yan Ding, Bin Zhao, Zhigang Wang, Xuelong Li, Dong Wang:
Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation. - Dongfu Xiao, Chen Gao, Zhengquan Luo, Chi Liu, Sheng Shen:
Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek. - Jianshu She, Zhuohao Li, Zhemin Huang, Qi Li, Peiran Xu, Haonan Li, Qirong Ho:
Hawkeye:Efficient Reasoning with Model Collaboration. - Shuva Paul, Farhad Alemi, Richard Macwan:
LLM-Assisted Proactive Threat Intelligence for Automated Reasoning. - Yinghe Zhang, Chi Liu, Shuai Zhou, Sheng Shen, Peng Gui:
Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection. - Yuxi Mi, Zhizhou Zhong, Yuge Huang, Qiuyang Yuan, Xuan Zhao, Jianqing Xu, Shouhong Ding, Shaoming Wang, Rizen Guo, Shuigeng Zhou:
Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided Diffusion. - Yuzhuo Zhou, Chi Liu, Sheng Shen, Siyu Le, Liwen Yu, Sihan Ouyang, Zongyuan Ge:
Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration. - Chong Li, Jingyang Huo, Weikang Gong, Yanwei Fu, Xiangyang Xue, Jianfeng Feng:
DecoFuse: Decomposing and Fusing the "What", "Where", and "How" for Brain-Inspired fMRI-to-Video Decoding. - Shiyi Liu, Haiying Shen, Shuai Che, Mahdi Ghandi, Mingqin Li:
HERA: Hybrid Edge-cloud Resource Allocation for Cost-Efficient AI Agents. - Yadong Xie, Fan Li, Yue Wu, Yu Wang:
User authentication on earable devices via bone-conducted occlusion sounds. - Yadong Xie, Fan Li, Yu Wang:
FingerSlid: Towards Finger-Sliding Continuous Authentication on Smart Devices Via Vibration. - Qi Song, Chenghong Li, Haotong Lin, Sida Peng, Rui Huang:
ADGaussian: Generalizable Gaussian Splatting for Autonomous Driving with Multi-modal Inputs. - Lan Sun, Songpengcheng Xia, Jiarui Yang, Ling Pei:
Suite-IN++: A FlexiWear BodyNet Integrating Global and Local Motion Features from Apple Suite for Robust Inertial Navigation. - Divyanshu Kumar, Nitin Aravind Birur, Tanay Baswa, Sahil Agarwal, Prashanth Harshangi:
No Free Lunch with Guardrails. - Yimiao Sun, Yuan He, Yang Zou, Jiaming Gu, Xiaolei Yang, Jia Zhang, Ziheng Mao:
A Survey of mmWave Backscatter: Applications, Platforms, and Technologies. - Yimiao Sun, Weiguo Wang, Luca Mottola, Zhang Jia, Ruijin Wang, Yuan He:
Indoor Drone Localization and Tracking Based on Acoustic Inertial Measurement. - Shide Zhou, Kailong Wang, Ling Shi, Haoyu Wang:
Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State Forensics. - Jaeuk Shin, Jungjin Lee, Insoon Yang:
Egocentric Conformal Prediction for Safe and Efficient Navigation in Dynamic Cluttered Environments. - Poonam Sharma, Dildar Ali, Suman Banerjee:
A Regret-Aware Framework for Effective Social Media Advertising. - Yongze Li, Ning Li, Ajian Liu, Hui Ma, Liying Yang, Xihong Chen, Zhiyao Liang, Yanyan Liang, Jun Wan, Zhen Lei:
FA^{3}-CLIP: Frequency-Aware Cues Fusion and Attack-Agnostic Prompt Learning for Unified Face Attack Detection. - Callum Lock, Oubay Hassan, Rubén Sevilla, Jason Jones:
Anisotropic mesh spacing prediction using neural networks. - Hao Qin, Luyuan Chen, Ming Kong, Mengxu Lu, Qiang Zhu:
Distilling Multi-view Diffusion Models into 3D Generators. - Shunxin Chen, Ajian Liu, Junze Zheng, Jun Wan, Kailai Peng, Sergio Escalera, Zhen Lei:
Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack Detection. - Maolin Wang, Xiangyu Zhao:
MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning. - Arnab Maiti, Zhiyuan Fan, Kevin G. Jamieson, Lillian J. Ratliff, Gabriele Farina:
Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries. - Jinrui Zhou, Yiqi Gu, Hua Shen, Liwei Xu, Juan Zhang, Guanyu Zhou:
Learning high-accuracy numerical schemes for hyperbolic equations on coarse meshes. - Ziyin Zhou, Ke Sun, Zhongxi Chen, Xianming Lin, Yunpeng Luo, Ke Yan, Shouhong Ding, Xiaoshuai Sun:
Exploring the Collaborative Advantage of Low-level Information on Generalizable AI-Generated Image Detection. - Pablo Torrijos, José M. Puerta, José A. Gámez, Juan A. Aledo:
Informed Greedy Algorithm for Scalable Bayesian Network Fusion via Minimum Cut Analysis. - Camilo Gonzalez Arango, Houshyar Asadi, Mohammad Reza Chalak Qazani, Chee Peng Lim:
Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing. - Ruoyu Chen, Siyuan Liang, Jingzhi Li, Shiming Liu, Li Liu, Hua Zhang, Xiaochun Cao:
Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection. - Ruoxi Xu, Yunjie Ji, Boxi Cao, Yaojie Lu, Hongyu Lin, Xianpei Han, Ben He, Yingfei Sun, Xiangang Li, Le Sun:
Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning. - Xiangyang Liu, Junliang He, Xipeng Qiu:
Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences. - Haobo Yuan, Tao Zhang, Xiangtai Li, Lu Qi, Zilong Huang, Shilin Xu, Jiashi Feng, Ming-Hsuan Yang:
4th PVUW MeViS 3rd Place Report: Sa2VA. - Laura Diana Cernau, Laura Diosan, Camelia Serban:
Unveiling Hybrid Cyclomatic Complexity: A Comprehensive Analysis and Evaluation as an Integral Feature in Automatic Defect Prediction Models. - Zhuohao Li, Zhicheng Huang, Wenchao Liu, Zhuxing Zhang, Jianming Miao:
FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images. - Theresa Wagner, Tianshi Xu, Franziska Nestler, Yuanzhe Xi, Martin Stoll:
Preconditioned Additive Gaussian Processes with Fourier Acceleration. - Yueru Chen, Wei Zhang, Dingquan Li, Jing Wang, Ge Li:
Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression. - Karan Mukhi, Alessandro Abate:
Aggregate Flexibility of Thermostatically Controlled Loads using Generalized Polymatroids. - Mahade Hasan, Farhana Yasmin, Md. Mehedi Hassan, Xue Yu, Soniya Yeasmin, Herat Joshi, Sheikh Mohammed Shariful Islam:
Enhancing stroke disease classification through machine learning models via a novel voting system by feature selection techniques. - Jie Ma, Zhitao Gao, Qi Chai, Jun Liu, Pinghui Wang, Jing Tao, Zhou Su:
FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal Reasoning. - Riccardo Marini, Giampaolo Cuozzo:
Next Generation LoRaWAN: Integrating Multi-Hop Communications at 2.4 GHz. - Zetong Chen, Yuzhuo Chen, Hai Zhong, Xu Qiao:
SCFANet: Style Distribution Constraint Feature Alignment Network For Pathological Staining Translation. - Youhei Akimoto, Xilin Gao, Ze Kai Ng, Daiki Morinaga:
Challenges of Interaction in Optimizing Mixed Categorical-Continuous Variables. - Nicola Muca Cirone, Cristopher Salvi:
ParallelFlow: Parallelizing Linear Transformers via Flow Discretization. - Ziang Mao, Tianlong Fan, Linyuan Lü:
Perturbation-Based Pinning Control Strategy for Enhanced Synchronization in Complex Networks. - Jingbo Lu, Leheng Zhang, Xingyu Zhou, Mu Li, Wen Li, Shuhang Gu:
Learned Image Compression with Dictionary-based Entropy Model. - Mahdi Madani, El-Bay Bourennane:
Visually Image Encryption and Compression Using a CNN-Based Auto Encoder. - Qianhao Yuan, Qingyu Zhang, Yanjiang Liu, Jiawei Chen, Yaojie Lu, Hongyu Lin, Jia Zheng, Xianpei Han, Le Sun:
ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers. - Kai Yan, Yufei Xu, Zhengyin Du, Xuesong Yao, Zheyu Wang, Xiaowen Guo, Jiecao Chen:
Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems? - Jianing Huang, Kaixuan Zhang, Youjia Wu, Ze Cheng:
Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving. - Asma Z. Yamani, Malak Baslyman, Moataz Ahmed:
Leveraging LLMs for User Stories in AI Systems: UStAI Dataset. - Chun-Hung Chen:
Training Frozen Feature Pyramid DINOv2 for Eyelid Measurements with Infinite Encoding and Orthogonal Regularization. - Yichao Zhang, Yubo Song, Subham Sahoo:
Carbon and Reliability-Aware Computing for Heterogeneous Data Centers. - Jinho Yang, Ji-Hoon Kim, Joo-Young Kim:
SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models. - Hang He, Yixing Luo, Chengcheng Wan, Ting Su, Haiying Sun, Geguang Pu:
Automated detection of atomicity violations in large-scale systems. - Kyuhan Lee, Geon Lee, Kijung Shin:
MARIOH: Multiplicity-Aware Hypergraph Reconstruction. - Shuyi Zhou, Shuxiang Xie, Ryoichi Ishikawa, Takeshi Oishi:
Robust LiDAR-Camera Calibration with 2D Gaussian Splatting. - Xinrun Xu, Qiuhong Zhang, Jianwen Yang, Zhanbiao Lian, Jin Yan, Zhiming Ding, Shan Jiang:
High-Quality Pseudo-Label Generation Based on Visual Prompt Assisted Cloud Model Update. - Fida Mohammad Thoker, Letian Jiang, Chen Zhao, Bernard Ghanem:
SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning. - Hongru Ma, Yanjie Liang, Jiasheng Si, Weiyu Zhang, Hongjiao Guan, Chaoqun Zheng, Bing Xu, Wenpeng Lu:
SRLCG: Self-Rectified Large-Scale Code Generation with Multidimensional Chain-of-Thought and Dynamic Backtracking. - Zhongtang Luo:
Curriculum Design of Competitive Programming: a Contest-based Approach. - Peng Yang, Junji Ren, Feng Wang, Ke Tang:
Towards Calibrating Financial Market Simulators with High-frequency Data. - Yuang Jia, Xiaojuan Shan, Jun Xia, Guancheng Wan, Yuchen Zhang, Wenke Huang, Mang Ye, Stan Z. Li:
Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural Networks. - Giuseppe Destefanis, Silvia Bartolucci, Daniel Graziotin, Rumyana Neykova, Marco Ortu:
Introducing Repository Stability. - Qi Zang, Shuang Wang, Dong Zhao, Dou Quan, Yang Hu, Licheng Jiao:
Generalization-aware Remote Sensing Change Detection via Domain-agnostic Learning. - Simon Meierhans, Maximilian Probst Gutenberg, Thatchaphol Saranurak:
Expander Pruning with Polylogarithmic Worst-Case Recourse and Update Time. - Ariba Siddiqui, Wil M. P. van der Aalst, Daniel Schuster:
Computing Alignments for Partially-ordered Traces Through Petri Net Unfoldings. - Stefano Battilotti:
Symmetry-based observers for ODE systems. - Farhana Javed, Josep Mangues-Bafalluy:
Performance Analysis, Lessons Learned and Practical Advice for a 6G Inter-Provider DApp on the Ethereum Blockchain. - Jewon Lee, Ki-Ung Song, Seungmin Yang, Donguk Lim, Jaeyeon Kim, Wooksu Shin, Bo-Kyeong Kim, Yong Jae Lee, Tae-Ho Kim:
Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features. - Marek Vasko, Adam Herout, Michal Hradis:
Archival Faces: Detection of Faces in Digitized Historical Documents. - Loveneet Saini, Mirko Meuter, Hasan Tercan, Tobias Meisen:
AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection. - François Dubois, Juan Antonio Rojas-Quintero:
A variational symplectic scheme based on Lobatto's quadrature. - Yan Xia, Hai Huang, Minghui Fang, Zhou Zhao:
Continual Cross-Modal Generalization. - Shufang Zhang, Hang Qian, Minxue Ni, Yaxuan Li, Wenxin Ding, Jun Liu:
Diffusion Model-Based Size Variable Virtual Try-On Technology and Evaluation Method. - Enrico Sorbera, Federica Zanetti, Giacomo Brandi, Alessandro Tomasi, Roberto Doriguzzi Corin, Silvio Ranise:
Adaptive Federated Learning with Functional Encryption: A Comparison of Classical and Quantum-safe Options. - Anish Acharya, Sujay Sanghavi, Alexandros G. Dimakis, Inderjit S. Dhillon:
Geometric Median Matching for Robust k-Subset Selection from Noisy Data. - Kanat Abdukhalikov, Askar S. Dzhumadil'daev, San Ling:
Quasi-cyclic codes of index 2. - Yilong Xu, Jinhua Gao, Xiaoming Yu, Yuanhai Xue, Baolong Bi, Huawei Shen, Xueqi Cheng:
Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language Models. - Takumi Taki, Masato Kobayashi, Eduardo Iglesius, Naoya Chiba, Shizuka Shirai, Yuki Uranishi:
MRHaD: Mixed Reality-based Hand-Drawn Map Editing Interface for Mobile Robot Navigation. - Hongliu Cao:
Enhancing Negation Awareness in Universal Text Embeddings: A Data-efficient and Computational-efficient Approach. - Yingxuan Yang, Huacan Chai, Shuai Shao, Yuanyi Song, Siyuan Qi, Renting Rui, Weinan Zhang:
AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent Systems. - Owen Cook, Jake Vasilakes, Ian Roberts, Xingyi Song:
Efficient Annotator Reliability Assessment with EffiARA. - Marta Andronic, George A. Constantinides:
NeuraLUT-Assemble: Hardware-aware Assembling of Sub-Neural Networks for Efficient LUT Inference. - Weizhi Wang, Yu Tian, Linjie Yang, Heng Wang, Xifeng Yan:
Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic Resources. - Jirui Qi, Raquel Fernández, Arianna Bisazza:
On the Consistency of Multilingual Context Utilization in Retrieval-Augmented Generation. - Weifang Hu, Xuanhua Shi, Chang Wu, Yunkai Zhang, Xuan Peng, Jiaqi Zhai, Hai Jin, Yongluan Zhou, Xuehai Qian:
CFP: Low-overhead Profiling-based Intra-operator Parallelism Generation by Preserving Communication-Free Structures. - Federica Adobbati, Lukasz Mikulski:
Asynchronous Multi-Agent Systems with Petri nets. - Naoyuki Terashita, Hiroki Ohashi, Satoshi Hara:
Data Cleansing for GANs. - Cecilia Pagliantini, Federico Vismara:
Adaptive hyper-reduction of non-sparse operators: application to parametric particle-based kinetic plasma models. - Behdin Vahedi Nouri, Mohammad Rohaninejad, Zdenek Hanzálek, Mehdi Foumani:
A batch production scheduling problem in a reconfigurable hybrid manufacturing-remanufacturing system. - Ping Li, Chenhao Ping, Wenxiao Wang, Mingli Song:
Sample-level Adaptive Knowledge Distillation for Action Recognition. - Hongqian Chen, Yun Tang, Antonios Tsourdos, Weisi Guo:
Contextualized Autonomous Drone Navigation using LLMs Deployed in Edge-Cloud Computing. - Xianghong Xu, Xiao He, Tieying Zhang, Lei Zhang, Rui Shi, Jianjun Chen:
PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models. - Huichuan Huang, Zhiqing Zhong, Guangyu Wei, Yonghao Wan, Wenlong Sun, Aimin Feng:
Bi-Grid Reconstruction for Image Anomaly Detection. - Diego Figueira, Rémi Morvan, Miguel Romero:
Minimizing Conjunctive Regular Path Queries. - Franziska Weindel, Reinhard Heckel:
LLM-Guided Search for Deletion-Correcting Codes. - Sotaro Katayama, Yuta Koda, Norio Nagatsuka, Masaya Kinoshita:
Learning Bipedal Locomotion on Gear-Driven Humanoid Robot Using Foot-Mounted IMUs. - Danial Hooshyar, Eve Kikas, Yeongwook Yang, Gustav Sír, Raija Hämäläinen, Tommi Kärkkäinen, Roger Azevedo:
Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods. - Anders E. Kalør, Petar Popovski, Kaibin Huang:
Data Sourcing Random Access using Semantic Queries for Massive IoT Scenarios. - Kazuki Yano, Sho Takase, Sosuke Kobayashi, Shun Kiyono, Jun Suzuki:
Efficient Construction of Model Family through Progressive Training Using Model Expansion. - Adnan Theerens, Yvan Saeys, Chris Cornelis:
Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration. - Weilin Deng, Daowen Qiu, Jingkai Yang:
New Insights into the Decidability of Opacity in Timed Automata. - Filippo Airaldi, Bart De Schutter, Azita Dabiri:
Probabilistically safe and efficient model-based Reinforcement Learning. - Olivier Brun, Balakrishna J. Prabhu:
Performance bounds for priority-based stochastic coflow scheduling. - Lingxi Jin, Baicheng Lin, Mengze Hong, Kun Zhang, Hyo-Jeong So:
Exploring the Impact of an LLM-Powered Teachable Agent on Learning Gains and Cognitive Load in Music Education. - Alireza Aghabagherloo, Aydin Abadi, Sumanta Sarkar, Vishnu Asutosh Dasu, Bart Preneel:
Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models. - Jiamin Wu, Hongyang Li, Xiaoke Jiang, Yuan Yao, Lei Zhang:
Coca-Splat: Collaborative Optimization for Camera Parameters and 3D Gaussians. - Lanyun Zhu, Tianrun Chen, Qianxiong Xu, Xuanyi Liu, Deyi Ji, Haiyang Wu, De Wen Soh, Jun Liu:
POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation. - Jiayi Li, Jiale Wei, Matthew Motoki, Yan Jiang, Baosen Zhang:
Adaptive Pricing for Optimal Coordination in Networked Energy Systems with Nonsmooth Cost Functions. - Ludovic De Matteïs, Virgile Batto, Justin Carpentier, Nicolas Mansard:
Optimal Control of Walkers with Parallel Actuation. - Xinnan Zhu, Yicheng Zhu, Tixin Chen, Wentao Wu, Yuanjie Dang:
FDDet: Frequency-Decoupling for Boundary Refinement in Temporal Action Detection. - Franco Dassi, Rekha Khot, Andres E. Rubiano, Ricardo Ruiz-Baier:
A posteriori error analysis of a robust virtual element method for stress-assisted diffusion problems. - Vikram Kulothungan, Deepti Gupta:
Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia. - Shuai Li, Jian Xu, Xiao-Hui Li, Chao Deng, Lin-Lin Huang:
QG-VTC: Question-Guided Visual Token Compression in MLLMs for Efficient VQA. - Enrico Liscio, Michela Lorandi, Pradeep K. Murukannaiah:
News is More than a Collection of Facts: Moral Frame Preserving News Summarization. - Rui Wang, Shaocheng Jin, Ziheng Chen, Xiaoqing Luo, Xiao-Jun Wu:
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry. - Dengchun Li, Naizheng Wang, Zihao Zhang, Haoyang Yin, Lei Duan, Meng Xiao, Mingjie Tang:
DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing Mechanism. - Francesco Capuano, Gabriele Tiboni, Niccolò Cavagnero, Giuseppe Averta:
Sim-is-More: Randomizing HW-NAS with Synthetic Devices. - Motasem S. Obeidat, Md Sultan Al Nahian, Ramakanth Kavuluru:
Do LLMs Surpass Encoders for Biomedical NER? - Shengjie Gong, Haojie Li, Jiapeng Tang, Dongming Hu, Shuangping Huang, Hao Chen, Tianshui Chen, Zhuoman Liu:
Monocular and Generalizable Gaussian Talking Head Animation. - Alexander A. Zlotnik, Timofey Lomonosov:
A Semi-Explicit Compact Fourth-Order Finite-Difference Scheme for the General Acoustic Wave Equation. - Romain Bonnet-Eymard, Jean-François Coulombel, Grégory Faye:
Amplification of numerical wave packets for transport equations with two boundaries. - Alessandro Colombo, Riccardo Busetto, Valentina Breschi, Marco Forgione, Dario Piga, Simone Formentin:
In-Context Learning for Zero-Shot Speed Estimation of BLDC motors. - Anthony Yazdani, Ihor Stepanov, Douglas Teodoro:
GLiNER-biomed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition. - Jorge de Heuvel, Sebastian Müller, Marlene Wessels, Aftab Akhtar, Christian Bauckhage, Maren Bennewitz:
Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual Reality. - Juliette Grosset, Alain-Jérôme Fougères, Ouzna Oukacha, Moïse Djoko-Kouam, Jean-Marie Bonnin:
Simulation of Autonomous Industrial Vehicle Fleet Using Fuzzy Agents: Application to Task Allocation and Battery Charge Management. - Diego Fernández-Zapico, Theo Hofman, Mauro Salazar:
Stochastic Model Predictive Control of Charging Energy Hubs with Conformal Prediction. - Aaron Brunk, Marco F. P. ten Eikelder:
A simple, fully-discrete, unconditionally energy-stable method for the two-phase Navier-Stokes Cahn-Hilliard model with arbitrary density ratios. - Sk Abid Hasan, Lakshmikanta Sau, Sasthi C. Ghosh:
Geometry Based UAV Trajectory Planning for Mixed User Traffic in mmWave Communication. - Yuanchen Wu, Junlong Du, Ke Yan, Shouhong Ding, Xiaoqiang Li:
ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts. - Nanna Inie, Jeanette Falk, Raghavendra Selvan:
The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research. - Christophe Levrat, Tanguy Medevielle, Jade Nardi:
A divide-and-conquer sumcheck protocol. - Yiling He, Hongyu She, Xingzhi Qian, Xinran Zheng, Zhuo Chen, Zhan Qin, Lorenzo Cavallaro:
On Benchmarking Code LLMs for Android Malware Analysis. - Xiaoxuan Zhu, Zhouhong Gu, Baiqian Wu, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao:
ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection. - Marlene Wessels, Jorge de Heuvel, Leon Müller, Anna Luisa Maier, Maren Bennewitz, Johannes Kraus:
Auditory Localization and Assessment of Consequential Robot Sounds: A Multi-Method Study in Virtual Reality. - Aakanksha, Arash Ahmadian, Marwan Ahmed, Jay Alammar, Milad Alizadeh, Yazeed Alnumay, Sophia Althammer, Arkady Arkhangorodsky, Viraat Aryabumi, Dennis Aumiller, Raphaël Avalos, Zahara Aviv, Sammie Bae, Saurabh Baji, Alexandre Barbet, Max Bartolo, Björn Bebensee, Neeral Beladia, Walter Beller-Morales, Alexandre Bérard, Andrew Berneshawi, Anna Bialas, Phil Blunsom, Matt Bobkin, Adi Bongale, Sam Braun, Maxime Brunet, Samuel Cahyawijaya, David Cairuz, Jon Ander Campos, Cassie Cao, Kris Cao, Roman Castagné, Julián Cendrero, Leila Chan Currie, Yash Chandak, Diane Chang, Giannis Chatziveroglou, Hongyu Chen, Claire Cheng, Alexis Chevalier, Justin T. Chiu, Eugene Choi, Eujeong Choi, Tim Chung, Volkan Cirik, Ana Cismaru, Pierre Clavier, Henry Conklin, Lucas Crawhall-Stein, Devon Crouse, Felipe Cruz-Salinas, Ben Cyrus, Daniel D'souza, Hugo Dalla-Torre, John Dang, William Darling, Omar Darwiche Domingues, Saurabh Dash, Antoine Debugne, Théo Dehaze, Shaan Desai, Joan Devassy, Rishit Dholakia, Kyle Duffy, Ali Edalati, Ace Eldeib, Abdullah Elkady, Sarah Elsharkawy, Irem Ergün, Beyza Ermis, Marzieh Fadaee, Boyu Fan, Lucas Fayoux, Yannis Flet-Berliac, Nick Frosst, Matthias Gallé, Wojciech Galuba, Utsav Garg, Matthieu Geist, Mohammad Gheshlaghi Azar, Ellen Gilsenan-McMahon, Seraphina Goldfarb-Tarrant, Tomas Goldsack, Aidan N. Gomez, Victor Machado Gonzaga, Nithya Govindarajan, Manoj Govindassamy, Nathan Grinsztajn, Nikolas Gritsch, Patrick Gu, Shangmin Guo, Kilian Haefeli, Rod Hajjar, Tim Hawes, Jingyi He, Sebastian Hofstätter, Sungjin Hong:
Command A: An Enterprise-Ready Large Language Model. - Hanne Say, Suzan Ece Ada, Emre Ugur, Erhan Öztop:
Energy Weighted Learning Progress Guided Interleaved Multi-Task Learning. - Enjun Du, Xunkai Li, Tian Jin, Zhihan Zhang, Rong-Hua Li, Guoren Wang:
GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments. - Sanath Keshav, Julius Herb, Felix Fritzen:
Spectral Normalization and Voigt-Reuss net: A universal approach to microstructure-property forecasting with physical guarantees. - S. J. Abbasi Koumleh, Fabio Paparella:
Intermodal Network of Autonomous Mobility-on-Demand and Micromobility Systems. - Dikshit Chauhan, Shivani, Donghwi Jung, Anupam Yadav:
Advancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives. - Thomas E. Huber, Jules Lecomte, Borislav Polovnikov, Axel von Arnim:
Scaling Up Resonate-and-Fire Networks for Fast Deep Learning. - Songran Bai, Yuheng Ji, Yue Liu, Xingwei Zhang, Xiaolong Zheng, Daniel Dajun Zeng:
Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution. - Julián García, Cristian Riveros:
Complex event recognition under time constraints: towards a formal framework for efficient query evaluation. - Yuke Zhu, Zhixuan Li, Qinghai Zhang:
A Fast Fourth-Order Cut Cell Method for Solving Elliptic Equations in Two-Dimensional Irregular Domains. - Matheus Belarmino, Rackel Coelho, Roberto Lotudo, Jayr Pereira:
Aplicação de Large Language Models na Análise e Síntese de Documentos Jurídicos: Uma Revisão de Literatura. - Di Wu, Weibo He, Wanglei Feng, Zhenyu Wen, Bin Qian, Blesson Varghese:
EMO: Edge Model Overlays to Scale Model Size in Federated Learning. - Lewis Newsham, Daniel Prince:
Personality-Driven Decision-Making in LLM-Based Autonomous Agents. - Jiayuan She, Lin Shi, Peiqi Li, Ziling Dong, Renxing Li, Shengkai Li, Liping Gu, Zhao Tong, Zhuochang Yang, Yajie Ji, Liang Feng, Jiangang Chen:
Detection of Disease on Nasal Breath Sound by New Lightweight Architecture: Using COVID-19 as An Example. - Dhanika Mahipala, Trym Tengesdal, Børge Rokseth, Tor Arne Johansen:
Design and Validation of an Intention-Aware Probabilistic Framework for Trajectory Prediction: Integrating COLREGS, Grounding Hazards, and Planned Routes. - Mogens Plessen:
Predictive Spray Switching for an Efficient Path Planning Pattern for Area Coverage. - Sebastián Espinel-Ríos, River Walser, Dongda Zhang:
Reinforcement learning for robust dynamic metabolic control. - Erna Begovic, Ana Perkovic:
On the block Eberlein diagonalization method. - Kurt Horvath, Dragi Kimovski:
Efficient Location-Based Service Discovery for IoT and Edge Computing in the 6G Era. - Yizao Tang, Yuechen Zhu, Xingyu Ni, Baoquan Chen:
The Granule-In-Cell Method for Simulating Sand-Water Mixtures. - Sebastian Zieglmeier, Mathias Hudoba de Badyn, Narada D. Warakagoda, Thomas R. Krogstad, Paal Engelstad:
Semi-Data-Driven Model Predictive Control: A Physics-Informed Data-Driven Control Approach. - Yunsoo Kim, Michal W. S. Ong, Daniel W. Rogalsky, Manuel Rodriguez-Justo, Honghan Wu, Adam P. Levine:
IHC-LLMiner: Automated extraction of tumour immunohistochemical profiles from PubMed abstracts using large language models. - Wenxuan Wu, Xueyuan Chen, Shuai Wang, Jiadong Wang, Lingwei Meng, Xixin Wu, Helen Meng, Haizhou Li:
C2/AV-TSE: Context and Confidence-aware Audio Visual Target Speaker Extraction. - Sameer Sadruddin, Jennifer D'Souza, Eleni Poupaki, Alex Watkins, Hamed Babaei Giglou, Anisa Rula, Bora Karasulu, Sören Auer, Adrie Mackus, Erwin Kessels:
LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models. - Elyar Esmaeilzadeh, Ehsan Garaaghaji, Farzad Hallaji Azad, Doruk Öner:
CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation. - Julian Schulz, Seamus Fallows:
Automated Feature Labeling with Token-Space Gradient Descent. - Lin Zhang, Zhouhong Gu, Xiaoran Shi, Hongwei Feng, Yanghua Xiao:
RECKON: Large-scale Reference-based Efficient Knowledge Evaluation for Large Language Model. - Niccolò Perrone, Fanny Lehmann, Hugo Gabrielidis, Stefania Fresca, Filippo Gatti:
Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response. - Paul Andrey, Batiste Le Bars, Marc Tommasi:
TAMIS: Tailored Membership Inference Attacks on Synthetic Data. - Dehua Huo, Weida Zhan, Jinxin Guo, Depeng Zhu, Yu Chen, YiChun Jiang, Yueyi Han, Deng Han, Jin Li:
MSSFC-Net:Enhancing Building Interpretation with Multi-Scale Spatial-Spectral Feature Collaboration. - Amjad Ullah, András Márkus, Haci Ismail Aslan, Tamás Kiss, József Kovács, James Deslauriers, Amy L. Murphy, Yiming Wang, Odej Kao:
Towards a Decentralised Application-Centric Orchestration Framework in the Cloud-Edge Continuum. - Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Wanli Ouyang, Shuyue Hu:
Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute. - Yunxuan Mao, Rong Xiong, Yue Wang, Yiyi Liao:
UnIRe: Unsupervised Instance Decomposition for Dynamic Urban Scene Reconstruction. - Pegah Rahimian, Jernej Flisar, David J. T. Sumpter:
Automated Explanation of Machine Learning Models of Footballing Actions in Words. - TingJie Zhang, HaiLin Liu:
Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank. - Hyunwoo Park, Gun Ryu, Wonjun Kim:
DropGaussian: Structural Regularization for Sparse-view Gaussian Splatting. - Ning Lan, Baoshan Ou, Xuemei Xie, Guangming Shi:
Visual Environment-Interactive Planning for Embodied Complex-Question Answering. - Anja Ryser, Yingqiang Gao, Sarah Ebling:
Digitally Supported Analysis of Spontaneous Speech (DigiSpon): Benchmarking NLP-Supported Language Sample Analysis of Swiss Children's Speech. - Yang Yang, Xijie Xu, Yixun Zhou, Jie Zheng:
CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and Classification. - Xin Tong, Xuanhe Zhou, Bingsheng He, Guoliang Li, Zirui Tang, Wei Zhou, Fan Wu, Mian Lu, Yuqiang Chen:
FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform. - Kangjian Chen, Chenhao Qi, Yujing Hong, Chau Yuen:
REMAA: Reconfigurable Pixel Antenna-based Electronic Movable-Antenna Arrays for Multiuser Communications. - Syed Sarmad Shah, Anas Ali:
Optimizing Resource Allocation and Energy Efficiency in Federated Fog Computing for IoT. - Boseon Yoo, Jiwoo Lee, Janghoon Ju, Seijun Chung, Soyeon Kim, Jaesik Choi:
Conditional Temporal Neural Processes with Covariance Loss. - Soyeon Kim, Junho Choi, Yeji Choi, Subeen Lee, Artyom Stitsyuk, Minkyoung Park, Seongyeop Jeong, Youhyun Baek, Jaesik Choi:
Explainable AI-Based Interface System for Weather Forecasting Model. - Alexandra Sasha Luccioni, Giada Pistilli, Raesetje Sefala, Nyalleng Moorosi:
Bridging the Gap: Integrating Ethics and Environmental Sustainability in AI Research and Practice. - Xi Wang, Fanfei Meng, Shiyang Zhang, Lan Li:
Inaccuracy of an E-Dictionary and Its Influence on Chinese Language Users. - Alexandre Anahory Simoes, María Barbero-Liñán, Anthony M. Bloch, Leonardo Colombo, David Martín de Diego:
Retraction maps in optimal control of nonholonomic systems. - Zhaojian Yu, Yinghao Wu, Yilun Zhao, Arman Cohan, Xiao-Ping Zhang:
Z1: Efficient Test-time Scaling with Code. - Yiqun Duan, Sameera Ramasinghe, Stephen Gould, Thalaiyasingam Ajanthan:
Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data. - Yeqi Fang, Rong Zhou:
Two-stage deep learning framework for the restoration of incomplete-ring PET images. - Qiuchen Song, Shusen Jing, Shuai Zhang, Songyang Zhang, Chuan Huang:
Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating Function. - Kevin Wang, Hongqian Niu, Yixin Wang, Didong Li:
Deep Generative Models: Complexity, Dimensionality, and Approximation. - Yubo Wang, Xueguang Ma, Ping Nie, Huaye Zeng, Zhiheng Lyu, Yuxuan Zhang, Benjamin Schneider, Yi Lu, Xiang Yue, Wenhu Chen:
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations. - Mohamed Benzaghta, Giovanni Geraci, David López-Pérez, Alvaro Valcarce:
Data-driven Optimization and Transfer Learning for Cellular Network Antenna Configurations. - Songpeng Liu:
Linked Array Tree: A Constant-Time Search Structure for Big Data. - Yunjie Ji, Sitong Zhao, Xiaoyu Tian, Haotian Wang, Shuaiting Chen, Yiping Peng, Han Zhao, Xiangang Li:
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study. - Soyeon Kim, Junho Choi, Subeen Lee, Jaesik Choi:
Example-Based Concept Analysis Framework for Deep Weather Forecast Models. - Shuyu Li, Shulei Ji, Zihao Wang, Songruoyao Wu, Jiaxing Yu, Kejun Zhang:
A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives. - Yuchen Liu, Lino Lerch, Luigi Palmieri, Andrey Rudenko, Sebastian Koch, Timo Ropinski, Marco Aiello:
Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and Insights. - Hyoungwook Jin, Yoonsu Kim, Dongyun Jung, Seungju Kim, Kiyoon Choi, Jinho Son, Juho Kim:
Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving. - Abdelrahman Elskhawy, Mengze Li, Nassir Navab, Benjamin Busam:
PRISM-0: A Predicate-Rich Scene Graph Generation Framework for Zero-Shot Open-Vocabulary Tasks. - Nicolas Kirsch, Leonardo Massai, Giancarlo Ferrari-Trecate:
Boosting the transient performance of reference tracking controllers with neural networks. - Aaron Anderson, Michael Benedikt:
Logical perspectives on learning statistical objects. - Yushan Zhang, Aljosa Osep, Laura Leal-Taixé, Tim Meinhardt:
Zero-Shot 4D Lidar Panoptic Segmentation. - Sunjung Kang, Vishrant Tripathi, Christopher G. Brinton:
Timely Trajectory Reconstruction in Finite Buffer Remote Tracking Systems. - Zhuang Qi, Runhui Zhang, Lei Meng, Wei Wu, Yachong Zhang, Xiangxu Meng:
Global Intervention and Distillation for Federated Out-of-Distribution Generalization. - Chongjie Si, Zhiyi Shi, Xuehui Wang, Yichen Xiao, Xiaokang Yang, Wei Shen:
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations. - Antonis Klironomos, Baifan Zhou, Zhuoxun Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, Evgeny Kharlamov:
ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals. - Mohammad Kassir, Siba Haidar, Antoun Yaacoub:
Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos. - Weifei Jin, Yuxin Cao, Junjie Su, Derui Wang, Yedi Zhang, Minhui (Jason) Xue, Jie Hao, Jin Song Dong, Yixian Yang:
Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems. - Mahan Rafidashti, Ji Lan, Maryam Fatemi, Junsheng Fu, Lars Hammarstrand, Lennart Svensson:
NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds. - Lucy Havens, Benjamin Bach, Melissa Terras, Beatrice Alex:
Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals. - You Wang, Zekun Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao:
Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists. - Roee M. Francos, Daniel Garces, Stephanie Gil:
Provably Stable Multi-Agent Routing with Bounded-Delay Adversaries in the Decision Loop. - Moritz Heep, Sven Behnke, Eduard Zell:
Feature-Preserving Mesh Decimation for Normal Integration. - Xiaoke Huang, Juncheng Wu, Hui Liu, Xianfeng Tang, Yuyin Zhou:
m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language Models. - Xiaohua Qi, Renda Li, Long Peng, Qiang Ling, Jun Yu, Ziyi Chen, Peng Chang, Mei Han, Jing Xiao:
Data-free Knowledge Distillation with Diffusion Models. - Jade Garcia Bourrée, Hadrien Lautraite, Sébastien Gambs, Gilles Trédan, Erwan Le Merrer, Benoît Rottembourg:
P2NIA: Privacy-Preserving Non-Iterative Auditing. - Klaus Kraßnitzer:
AutoAppendix: Towards one-click Reproduction of Computational Artifacts. - Valeria Widler, Barbara Kaminska, Andre C. R. Martins, Ivan Puga-Gonzalez:
An Investigation into the Causal Mechanism of Political Opinion Dynamics: A Model of Hierarchical Coarse-Graining with Community-Bounded Social Influence. - Fenglei Hao, Yuliang Yang, Ruiyuan Su, Zhengran Zhao, Yukun Qiao, Mengyu Zhu:
GISE-TTT:A Framework for Global InformationSegmentation and Enhancement. - Davide Moretti, Elia Onofri, Emiliano Cristiani:
Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques. - Wei Zhou, Yuyang Gao, Xuanhe Zhou, Guoliang Li:
CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models. - Zhenyi Liao, Qingsong Xie, Yanhao Zhang, Zijian Kong, Haonan Lu, Zhenyu Yang, Zhijie Deng:
Improved Visual-Spatial Reasoning via R1-Zero-Like Training. - Gianluca Peri, Lorenzo Giambagli, Lorenzo Chicchi, Duccio Fanelli:
Spectral Architecture Search for Neural Networks. - Wouter van Harten, Laura Scarabosio:
Distributed preconditioning for the parametric Helmholtz equation. - Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Li Xiu, Bowen Zhou:
GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning. - Martin C. Were, Ang Li, Bradley A. Malin, Zhijun Yin, Joseph R. Coco, Benjamin X. Collins, Ellen Wright Clayton, Laurie L. Novak, Rachele Hendricks-Sturrup, Abiodun Oluyomi, Shilo Anders, Chao Yan:
Role and Use of Race in AI/ML Models Related to Health. - Enzhe Sun, Yongchuan Cui, Peng Liu, Jining Yan:
A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and Opportunities. - Yi-Tang Chen, Haoyu Li, Neng Shi, Xihaier Luo, Wei Xu, Han-Wei Shen:
Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration. - Saaket Agashe, Kyle Wong, Vincent Tu, Jiachen Yang, Ang Li, Xin Eric Wang:
Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents. - Ram Ramrakhya, Matthew Chang, Xavier Puig, Ruta Desai, Zsolt Kira, Roozbeh Mottaghi:
Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement Learning. - Haoxuan Li, Wei Song, Aofan Liu, Peiwu Qin:
DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation. - Antoine Caradot, Rémi Emonet, Amaury Habrard, Abdel-Rahim Mezidi, Marc Sebban:
Provably accurate adaptive sampling for collocation points in physics-informed neural networks. - Xiongfei Wu, Mingfei Cheng, Qiang Hu, Jianlang Chen, Yuheng Huang, Manabu Okada, Michio Hayashi, Tomoyuki Tsuchiya, Xiaofei Xie, Lei Ma:
Foundation Models for Autonomous Driving System: An Initial Roadmap. - Oscar Adamuz-Hinojosa, Felix Delgado-Ferro, Núria Domènech, Jorge Navarro-Ortiz, Pablo Muñoz, Seyed Mahdi Darroudi, Pablo Ameigeiras, Juan M. López-Soler:
Empirical Analysis of 5G TDD Patterns Configurations for Industrial Automation Traffic. - Ella Rabinovich, Ateret Anaby-Tavor:
On the Robustness of Agentic Function Calling. - Chenguang Xiao, Abhirup Ghosh, Han Wu, Shuo Wang, Diederick van Thiel:
Benchmarking Federated Machine Unlearning methods for Tabular Data. - Courtney Miller, William Enck, Yasemin Acar, Michel Cukier, Alexandros Kapravelos, Christian Kästner, Dominik Wermke, Laurie A. Williams:
S3C2 Summit 2024-08: Government Secure Supply Chain Summit. - Marios-Nektarios Stamatopoulos, Panagiotis N. Koustoumpardis, Achilleas Santi Seisa, George Nikolakopoulos:
Combined Aerial Cooperative Tethered Carrying and Path Planning for Quadrotors in Confined Environments. - Olga Golovneva, Tianlu Wang, Jason Weston, Sainbayar Sukhbaatar:
Multi-Token Attention. - Emily Corvi, Hannah Washington, Stefanie Reed, Chad Atalla, Alexandra Chouldechova, P. Alex Dow, Jean Garcia-Gathright, Nicholas Pangakis, Emily Sheng, Dan Vann, Matthew Vogel, Hanna M. Wallach:
Taxonomizing Representational Harms using Speech Act Theory. - Sebastian Müller, Vanessa Toborek, Tamás Horváth, Christian Bauckhage:
CFIRE: A General Method for Combining Local Explanations. - Zifeng Wang, Junyi Gao, Benjamin P. Danek, Brandon Theodorou, Ruba Shaik, Shivashankar Thati, Seunghyun Won, Jimeng Sun:
InformGen: An AI Copilot for Accurate and Compliant Clinical Research Consent Document Generation. - Zixin Jiang, Xuezheng Wang, Han Li, Tianzhen Hong, Fengqi You, Ján Drgona, Draguna L. Vrabie, Bing Dong:
Physics-informed machine learning for building performance simulation-A review of a nascent field. - Kristen M. Edwards, Farnaz Tehranchi, Scarlett R. Miller, Faez Ahmed:
AI Judges in Design: Statistical Perspectives on Achieving Human Expert Equivalence With Vision-Language Models. - Alexander Martin, Reno Kriz, William Gantt Walden, Kate Sanders, Hannah Recknor, Eugene Yang, Francis Ferraro, Benjamin Van Durme:
WikiVideo: Article Generation from Multiple Videos. - Sihang Zhao, Shoucong Carol Xiong, Bo Pang, Xiaoying Tang, Pinjia He:
Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence. - Anna Bavaresco, Raquel Fernández:
Experiential Semantic Information and Brain Alignment: Are Multimodal Models Better than Language Models? - Snigdha Agarwal, Ganaraja V. H, Neelam Sinha, Abhilasha Indoria, Netravathi M, Jitender Saini:
Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis. - Tianqi Ding, Dawei Xiang, Keith E. Schubert, Liang Dong:
GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks. - Rachmad Vidya Wicaksana Putra, Saad Iftikhar, Muhammad Shafique:
QSViT: A Methodology for Quantizing Spiking Vision Transformers. - Tianqi Ding, Dawei Xiang, Pablo Rivas, Liang Dong:
Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration. - Kumar Kshitij Patel, Weitong Zhang, Lingxiao Wang:
Personalized Federated Training of Diffusion Models with Privacy Guarantees. - Bangwei Liu, Yicheng Bao, Shaohui Lin, Xuhong Wang, Xin Tan, Yingchun Wang, Yuan Xie, Chaochao Lu:
IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval. - David Atkinson:
Unfair Learning: GenAI Exceptionalism and Copyright Law. - Rachmad Vidya Wicaksana Putra, Pasindu Wickramasinghe, Muhammad Shafique:
Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems. - Dmytro Sytnyk:
Subordination based approximation of Caputo fractional propagator and related numerical methods. - Giovanni Lacopo, Claudio Gheller, Emanuele De Rubeis, Pascal Jahan Elahi, Maciej Cytowski, Luca Tornatore, Giuliano Taffoni, Ugo Varetto:
Green computing toward SKA era with RICK. - David Atkinson:
Putting GenAI on Notice: GenAI Exceptionalism and Contract Law. - Simone Fasolato, Anirudh Allam, Simona Onori, Davide M. Raimondo:
Analyzing cell-to-cell heterogeneities and cell configurations in parallel-connected battery modules using physics-based modeling. - Sixu Li, Deepak Prakash Kumar, Swaroop Darbha, Yang Zhou:
Time-optimal Convexified Reeds-Shepp Paths on a Sphere. - Giovanni Cioffi, Leonard Bauersfeld, Davide Scaramuzza:
HDVIO2.0: Wind and Disturbance Estimation with Hybrid Dynamics VIO. - Yuxuan Zhu, Ali Falahati, David H. Yang, Mohammad Mohammadi Amiri:
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching. - Mengyang Qiu, Qingyu Gao, Linxuan Yang, Yang Gu, Tran Minh Nguyen, Zihao Huang, Jungyeul Park:
Chinese Grammatical Error Correction: A Survey. - Anders Blilie, Nita Mulliqi, Xiaoyi Ji, Kelvin Szolnoky, Sol Erika Boman, Matteo Titus, Geraldine Martinez Gonzalez, José Asenjo, Marcello Gambacorta, Paolo Libretti, Einar Gudlaugsson, Svein Reidar Kjosavik, Lars Egevad, Emiel A. M. Janssen, Martin Eklund, Kimmo Kartasalo:
Artificial Intelligence-Assisted Prostate Cancer Diagnosis for Reduced Use of Immunohistochemistry. - Haoyi Duan, Hong-Xing Yu, Sirui Chen, Li Fei-Fei, Jiajun Wu:
WorldScore: A Unified Evaluation Benchmark for World Generation. - Yao Fehlis, Paul Mandel, Charles Crain, Betty Liu, David Fuller:
Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs. - Zhiwei Zhang, Jiayu Shen, Niraj Kumar, Marco Pistoia:
New Improvements in Solving Large LABS Instances Using Massively Parallelizable Memetic Tabu Search. - Reza Soltani, Pablo Diale, Milan Lopuhaä-Zwakenberg, Mariëlle Stoelinga:
Safety and Security Risk Mitigation in Satellite Missions via Attack-Fault-Defense Trees. - Elisabetta Fedele, Boyang Sun, Leonidas J. Guibas, Marc Pollefeys, Francis Engelmann:
SuperDec: 3D Scene Decomposition with Superquadric Primitives. - Juncheng Wu, Wenlong Deng, Xingxuan Li, Sheng Liu, Taomian Mi, Yifan Peng, Ziyang Xu, Yi Liu, Hyunjin Cho, Changin Choi, Yihan Cao, Hui Ren, Xiang Li, Xiaoxiao Li, Yuyin Zhou:
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs. - Liangbin Xie, Daniil Pakhomov, Zhonghao Wang, Zongze Wu, Ziyan Chen, Yuqian Zhou, Haitian Zheng, Zhifei Zhang, Zhe Lin, Jiantao Zhou, Chao Dong:
TurboFill: Adapting Few-step Text-to-image Model for Fast Image Inpainting. - Siyuan Li, Luyuan Zhang, Zedong Wang, Juanxi Tian, Cheng Tan, Zicheng Liu, Chang Yu, Qingsong Xie, Haonan Lu, Haoqian Wang, Zhen Lei:
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization. - José Pombal, Nuno Miguel Guerreiro, Ricardo Rei, André F. T. Martins:
Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models. - Michael Robinson, Sourya Dey, Tony Chiang:
Token embeddings violate the manifold hypothesis. - Yujian Xiong, Xuanzhao Dong, Sebastian Waz, Wenhui Zhu, Negar Jalili Mallak, Zhonglin Lu, Yalin Wang:
Enhancing 3T BOLD fMRI SNR using Unpaired 7T Data with Schrödinger Bridge Diffusion. - Nishad Singhi, Hritik Bansal, Arian Hosseini, Aditya Grover, Kai-Wei Chang, Marcus Rohrbach, Anna Rohrbach:
When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning. - Mario Gleirscher, Philip Hönnecke:
A Parametric Model for Near-Optimal Online Synthesis with Robust Reach-Avoid Guarantees. - Mohammed Adib Oumer, Amr Alanwar, Majid Zamani:
Data-Driven Safety Verification using Barrier Certificates and Matrix Zonotopes. - Peter Kocsis, Lukas Höllein, Matthias Nießner:
IntrinsiX: High-Quality PBR Generation using Image Priors. - Saarthak Kapse, Pushpak Pati, Srikar Yellapragada, Srijan Das, Rajarsi R. Gupta, Joel H. Saltz, Dimitris Samaras, Prateek Prasanna:
GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology. - Dylan Lester, James Gao, Samuel Sutphin, Pingping Zhu, Husnu Narman, Ammar Alzarrad:
A YOLO-Based Semi-Automated Labeling Approach to Improve Fault Detection Efficiency in Railroad Videos. - Gecia Bravo Hermsdorff, Lee M. Gunderson, Kayvan Sadeghi:
Causal Models for Growing Networks. - Junhao Cheng, Yuying Ge, Yixiao Ge, Jing Liao, Ying Shan:
AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction. - Tian-Xing Xu, Xiangjun Gao, Wenbo Hu, Xiaoyu Li, Song-Hai Zhang, Ying Shan:
GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion Priors. - David Fan, Shengbang Tong, Jiachen Zhu, Koustuv Sinha, Zhuang Liu, Xinlei Chen, Michael Rabbat, Nicolas Ballas, Yann LeCun, Amir Bar, Saining Xie:
Scaling Language-Free Visual Representation Learning. - Di Wu, Jia-Chen Gu, Kai-Wei Chang, Nanyun Peng:
Self-Routing RAG: Binding Selective Retrieval with Knowledge Verbalization. - Pablo Ruiz-Ponce, Germán Barquero, Cristina Palmero, Sergio Escalera, José García Rodríguez:
MixerMDM: Learnable Composition of Human Motion Diffusion Models. - Junyu Xie, Tengda Han, Max Bain, Arsha Nagrani, Eshika Khandelwal, Gül Varol, Weidi Xie, Andrew Zisserman:
Shot-by-Shot: Film-Grammar-Aware Training-Free Audio Description Generation. - Chaofan Wu, Jiaheng Li, Jinghao Cao, Ming Li, Yongkang Feng, Jiayu Wu, Shuwen Xu, Zihang Gao, Sidan Du, Yang Li:
Omnidirectional Depth-Aided Occupancy Prediction based on Cylindrical Voxel for Autonomous Driving. - Yufei He, Xucong Zhang, Arno H. A. Stienen:
Gaze-Guided 3D Hand Motion Prediction for Detecting Intent in Egocentric Grasping Tasks. - Sai Karthikey Pentapati, Gregoire Phillips, Alan C. Bovik:
Mesh Compression with Quantized Neural Displacement Fields. - Anket Mehra, Malte Prieß, Marian Himstedt:
Improving Applicability of Deep Learning based Token Classification models during Training. - Hilda Hadan, Reza Hadi Mogavi, Leah Zhang-Kennedy, Lennart E. Nacke:
Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents. - Emanuele Mezzi, Asimina Mertzani, Michael P. Manis, Siyanna Lilova, Nicholas Vadivoulis, Stamatis G. Kavadias, Styliani Roussou, Rodayna Hmede:
Who Owns the Output? Bridging Law and Technology in LLMs Attribution. - Fereniki Panagopoulou:
Artificial intelligence and democracy: Towards digital authoritarianism or a democratic upgrade? - Tina Vartziotis, Maximilian Schmidt, George Dasoulas, Ippolyti Dellatolas, Stefano Attademo, Viet Dung Le, Anke Wiechmann, Tim Hoffmann, Michael Keckeisen, Sotirios Kotsopoulos:
Carbon Footprint Evaluation of Code Generation through LLM as a Service. - Michael Overton, Barrie Robison, Lucas Sheneman:
TaMPERing with Large Language Models: A Field Guide for using Generative AI in Public Administration Research. - Liat Lavi:
One Person, One Bot. - Ilir Tahiraj, Jeremialie Swadiryus, Felix Fent, Markus Lienkamp:
Cal or No Cal? - Real-Time Miscalibration Detection of LiDAR and Camera Sensors. - Joshua Hatherley:
Are clinicians ethically obligated to disclose their use of medical machine learning systems to patients? - Christian Beron Curti, Rodrigo Vargas Sainz, Yitong Tseo:
Machine Learning for Identifying Potential Participants in Uruguayan Social Programs. - Asraa Muayed Abdalah, Noor R. Al-Kazaz:
Predicting Movie Production Years through Facial Recognition of Actors with Machine Learning. - Chunxue Xu, Yiwei Wang, Bryan Hooi, Yujun Cai, Songze Li:
How does Watermarking Affect Visual Language Models in Document Understanding? - Bingxin Li:
SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual Question Answering. - Eliran Sherzer:
Analyzing homogenous and heterogeneous multi-server queues via neural networks. - Chongyang Li, Yanmei He, Tianqian Zhang, Mingjian He, Shouyin Liu:
Knowledge-Base based Semantic Image Transmission Using CLIP. - Imen Azaiz, Natalie Kiesler, Sven Strickroth, Anni Zhang:
Open, Small, Rigmarole - Evaluating Llama 3.2 3B's Feedback for Programming Exercises. - Wenjun Zeng, Dana Kurniawan, Ryan Mullins, Yuchi Liu, Tamoghna Saha, Dirichi Ike-Njoku, Jindong Gu, Yiwen Song, Cai Xu, Jingjing Zhou, Aparna Joshi, Shravan Dheep, Mani Malek, Hamid Palangi, Joon Baek, Rick Pereira, Karthik Narasimhan:
ShieldGemma 2: Robust and Tractable Image Content Moderation. - Xinyue Chen, Lev Tankelevitch, Rishi Vanukuru, Ava Elizabeth Scott, Payod Panda, Sean Rintel:
Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings. - Nathan P. Lawrence, Thomas Banker, Ali Mesbah:
MPCritic: A plug-and-play MPC architecture for reinforcement learning. - James F. Mullen Jr., Dhruva Kumar, Xuewei Qi, Rajasimman Madhivanan, Arnie Sen, Dinesh Manocha, Richard Kim:
HomeEmergency - Using Audio to Find and Respond to Emergencies in the Home. - Marthe Bonamy, Cyril Gavoille, Timothé Picavet, Alexandra Wesolek:
Local Constant Approximation for Dominating Set on Graphs Excluding Large Minors. - Christopher Straub, Philipp Brendel, Vlad Medvedev, Andreas Rosskopf:
Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings. - Jaechul Roh, Virat Shejwalkar, Amir Houmansadr:
Multilingual and Multi-Accent Jailbreaking of Audio LLMs. - Brandon C. Collins, Thomas Gherna, Keith Paarporn, Shouhuai Xu, Philip N. Brown:
Efficient State Estimation of a Networked FlipIt Model. - Arash Hajisharifi, Michele Girfoglio, Annalisa Quaini, Gianluigi Rozza:
Combining Extended Convolutional Autoencoders and Reservoir Computing for Accurate Reduced-Order Predictions of Atmospheric Flows. - Bhargav Pavan Kumar Sistla, Wasim Akram, Debanjana Mitra, Vivek Natarajan:
LQR based ω-stabilization of a heat equation with memory. - Matéo Mahaut, Francesca Franzon:
Repetitions are not all alike: distinct mechanisms sustain repetition in language models. - Adrian-Gabriel Chifu, Sébastien Déjean, Josiane Mothe, Moncef Garouani, Diégo Ortiz, Md. Zia Ullah:
Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing. - Agrim Bari, Gustavo de Veciana, George Kesidis:
Fundamentals of Caching Layered Data objects. - Max Emerick, Bassam Bamieh:
Incompressible Optimal Transport and Applications in Fluid Mixing. - Fanjun Bu, Kerstin Fischer, Wendy Ju:
Making Sense of Robots in Public Spaces: A Study of Trash Barrel Robots. - Mario Heidrich, Jeffrey Heidemann, Rüdiger Buchkremer, Gonzalo Wandosell Fernández de Bobadilla:
ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities. - Ziyi Liu, Priyanka Dey, Zhenyu Zhao, Jen-tse Huang, Rahul Gupta, Yang Liu, Jieyu Zhao:
Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Metacognitive Cultural Intelligence with CQ-Bench. - Andrei Dumitriu, Florin Tatui, Florin Miron, Aakash Ralhan, Radu Tudor Ionescu, Radu Timofte:
RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety. - Melanie Subbiah, Akankshya Mishra, Grace Kim, Liyan Tang, Greg Durrett, Kathleen McKeown:
Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding. - Maciej Makowski, Brandon Gower-Winter, Georg Krempl:
Performative Drift Resistant Classification Using Generative Domain Adversarial Networks. - Guy Kaplan, Michael Toker, Yuval Reif, Yonatan Belinkov, Roy Schwartz:
Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models. - Shulu Li, Edward A. Lee:
A Preliminary Model of Coordination-free Consistency. - Tiantian Liu, Hengyu Liu, Tianyi Li, Kristian Torp, Christian S. Jensen:
ACTIVE: Continuous Similarity Search for Vessel Trajectories. - Monika Nitsche, Bowei Wu, Ling Xu:
Corrected Trapezoidal Rules for Near-Singular Surface Integrals Applied to 3D Interfacial Stokes Flow. - Bikash Saha, Nanda Rani, Sandeep Kumar Shukla:
MaLAware: Automating the Comprehension of Malicious Software Behaviours using Large Language Models (LLMs). - Mahjabin Nahar, Eun-Ju Lee, Jin Won Park, Dongwon Lee:
Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations. - Ashwin Kumar, William Yeoh:
Remember, but also, Forget: Bridging Myopic and Perfect Recall Fairness with Past-Discounting. - Gregory M. Campbell, Gentian Muhaxheri, Leonardo Ferreira Guilhoto, Christian D. Santangelo, Paris Perdikaris, James H. Pikul, Mark Yim:
Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators. - Anas Dorbani, Sunny Yasser, Jimmy Lin, Amine Mhedhbi:
Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB. - Maarten de Rijke, Bart Van den Hurk, Flora Salim, Alaa Al Khourdajie, Nan Bai, Renato Calzone, Declan Curran, Getnet Demil, Lesley Frew, Noah Gießing, Mukesh Kumar Gupta, Maria Heuss, Sanaa Hobeichi, David Huard, Jingwei Kang, Ana Lucic, Tanwi Mallick, Shruti Nath, Andrew Okem, Barbara Pernici, Thilina Rajapakse, Hira Saleem, Harry Scells, Nicole Schneider, Damiano Spina, Yuanyuan Tian, Edmund Totin, Andrew Trotman, Ramamurthy Valavandan, Dereje Workneh, Yangxinyu Xie:
Information Retrieval for Climate Impact. - Rui Zong, Martin Liang, Yuntian Fang, Ke Wang, Xiaoshuai Chen, Wei Chen, Petar Kormushev:
Extended Hybrid Zero Dynamics for Bipedal Walking of the Knee-less Robot SLIDER. - Yaoyu Chen, Yuheng Hu, Yingda Lu:
Predicting Field Experiments with Large Language Models. - Xin Hong, Aochu Dai, Dingchao Gao, Sanjiang Li, Zhengfeng Ji, Mingsheng Ying:
LimTDD: A Compact Decision Diagram Integrating Tensor and Local Invertible Map Representations. - Víctor Ramos-Osuna, Alberto Díaz-Álvarez, Raúl Lara-Cabrera:
Efficient n-body simulations using physics informed graph neural networks. - Huan Ning, Zhenlong Li, Manzhu Yu, Shiyan Zhang, Shan Qiao:
Estimating Hourly Neighborhood Population Using Mobile Phone Data in the United States. - David Mojzísek, Jan Hula, Ziwei Li, Ziyu Zhou, Mikolás Janota:
Neural Approaches to SAT Solving: Design Choices and Interpretability. - Sheikh A. Tahmid, Gennaro Notomista:
Value Iteration for Learning Concurrently Executable Robotic Control Tasks. - Elif Beray Sariisik, Melih Bastopcu, Nail Akar, Sennur Ulukus:
How to Maximize Efficiency in Systems with Exhausted Workers. - Jingwen Zhu, Yixu Chen, Hai Wei, Sriram Sethuraman, Yongjun Wu:
Video Quality Assessment for Resolution Cross-Over in Live Sports. - Ya-Ting Yang, Yunian Pan, Quanyan Zhu:
Preference-Centric Route Recommendation: Equilibrium, Learning, and Provable Efficiency. - Zian Su, Ziyang Huang, Kaiyuan Zhang, Xiangyu Zhang:
μKE: Matryoshka Unstructured Knowledge Editing of Large Language Models. - Eleni Adamidi, Panayiotis Deligiannis, Nikos Foutris, Thanasis Vergoulis:
A Virtual Laboratory for Managing Computational Experiments. - John C. Kolesar, Shan Ali, Timos Antonopoulos, Ruzica Piskac:
Coinductive Proofs of Regular Expression Equivalence in Zero Knowledge. - Krithik Vishwanath, Anton Alyakin, Daniel Alexander Alber, Jin Vivian Lee, Douglas Kondziolka, Eric Karl Oermann:
Medical large language models are easily distracted. - Sayera Dhaubhadel, Jamaludin Mohd-Yusof, Benjamin H. McMahon, Trilce Estrada, Kumkum Ganguly, Adam Spannaus, John P. Gounley, Xiao-Cheng Wu, Eric B. Durbin, Heidi A. Hanson, Tanmoy Bhattacharya:
Global explainability of a deep abstaining classifier. - Vedant Vivek Kini, Dantu Phani Surya, Rakesh Kumar Sahoo, Manoranjan Sinha:
Long-Range Rendezvous and Docking Maneuver Control of Satellite using Cross-Feedback Sliding Mode Controller. - Xuan Li, Qianli Ma, Tsung-Yi Lin, Yongxin Chen, Chenfanfu Jiang, Ming-Yu Liu, Donglai Xiang:
Articulated Kinematics Distillation from Video Diffusion Models. - Nicholas Clark, Hua Shen, Bill Howe, Tanushree Mitra:
Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery. - Aleksander Lukasiewicz, Jakub Tetek, Pavel Veselý:
SplineSketch: Even More Accurate Quantiles with Error Guarantees. - Nishanth Venkatesh S., Heeseung Bang, Andreas A. Malikopoulos:
Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding. - Jose Gallego-Posada, Juan Ramirez, Meraj Hashemizadeh, Simon Lacoste-Julien:
Cooper: A Library for Constrained Optimization in Deep Learning. - Banafsheh Adami, Nima Karimian:
GRU-AUNet: A Domain Adaptation Framework for Contactless Fingerprint Presentation Attack Detection. - Salim Khazem, Jérémy Fix, Cédric Pradalier:
PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification. - Feng Chen, Dror Ben-Zeev, Gillian Sparks, Arya Kadakia, Trevor Cohen:
Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models. - Piyush Nagasubramaniam, Neeraj Karamchandani, Chen Wu, Sencun Zhu:
Prompting Forgetting: Unlearning in GANs via Textual Guidance. - Grzegorz Rypesc:
Gradient-free Continual Learning. - Banafsheh Adami, Nima Karimian:
rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator. - Eric Pulick, Yonatan Mintz:
An Adaptive Control Approach to Treatment Selection for Substance Use Disorders. - Israel Campero-Jurado, Pieter Gijsbers, Joaquin Vanschoren:
AutoML Benchmark with shorter time constraints and early stopping. - Ryan Franks, Alexey Miroshnikov:
Explainable post-training bias mitigation with distribution-based fairness metrics. - Gonçalo Gomes, Chrysoula Zerva, Bruno Martins:
A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates. - Kimia Haghjooei, Mansoor Rezghi:
TenAd: A Tensor-based Low-rank Black Box Adversarial Attack for Video Classification. - Alain Couvreur, Christophe Levrat:
Highway to Hull: An Algorithm for Solving the General Matrix Code Equivalence Problem. - Yihao Zhang, Qizhi Qiu, Xiaomin Liu, Dianxuan Fu, Xingyu Liu, Leyan Fei, Yuming Cheng, Lilin Yi, Weisheng Hu, Qunbi Zhuge:
First Field-Trial Demonstration of L4 Autonomous Optical Network for Distributed AI Training Communication: An LLM-Powered Multi-AI-Agent Solution. - Kai Li, Zhengyang Zhang, Azadeh Pourkabirian, Wei Ni, Falko Dressler, Özgür B. Akan:
Towards Resilient Federated Learning in CyberEdge Networks: Recent Advances and Future Trends. - Naimul Haque:
Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks. - Shayan Firouzian Haji:
An Agent-based Model Simulation Approach to Demonstrate Effects of Aging Population and Social Service Policies on Pensions Fund and Its Long-term Socio-economic Consequences. - Jaskaran Singh Walia, Shravan Venkatraman, Pavithra L. K:
FUSION: Frequency-guided Underwater Spatial Image recOnstructioN. - Biswadeep Chakraborty, Hemant Kumawat, Beomseok Kang, Saibal Mukhopadhyay:
Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks. - Rafael Giebisch, Ken E. Friedl, Lev Sorokin, Andrea Stocco:
Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models. - Nicholas H. Barbara, Ruigang Wang, Ian R. Manchester:
R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks. - Kazuhiro Sasabuchi, Naoki Wake, Atsushi Kanehira, Jun Takamatsu, Katsushi Ikeuchi:
Plan-and-Act using Large Language Models for Interactive Agreement. - Niharika Dadu, Harsh Vardhan Singh, Romi Banerjee:
Grade Guard: A Smart System for Short Answer Automated Grading. - Biswadeep Chakraborty, Saibal Mukhopadhyay:
FLAMES: A Hybrid Spiking-State Space Model for Adaptive Memory Retention in Event-Based Learning. - Muntasir Hoq, Jessica Vandenberg, Shuyin Jiao, Seung Y. Lee, Bradford W. Mott, Narges Norouzi, James C. Lester, Bita Akram:
Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms. - Roy El-Helou, Matthew K. X. J. Pan:
The Social Life of Industrial Arms: How Arousal and Attention Shape Human-Robot Interaction. - Thomas Pritchard, Saifullah Ijaz, Ronald Clark, Basaran Bahadir Kocer:
ForestVO: Enhancing Visual Odometry in Forest Environments through ForestGlue. - Canberk Irimagzi, Ahmed H. Hareedy:
LOCO Codes Can Correct as Well: Error-Correction Constrained Coding for DNA Data Storage. - Mihir Suvarna, Omeed Tehrani:
GigaAPI for GPU Parallelization. - Si Chen, Xiao Yu, Ninareh Mehrabi, Rahul Gupta, Zhou Yu, Ruoxi Jia:
Strategize Globally, Adapt Locally: A Multi-Turn Red Teaming Agent with Dual-Level Learning. - Sakhinana Sagar Srinivas, Venkataramana Runkana:
Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding. - Jihyun Janice Ahn, Wenpeng Yin:
Prompt-Reverse Inconsistency: LLM Self-Inconsistency Beyond Generative Randomness and Prompt Paraphrasing. - Bennett Mountain, Gabriel Womark, Ritvik Kharkar:
Migrating a Job Search Relevance Function. - Hailong Guo, Haibo Li:
Derivative estimation by RKHS regularization for learning dynamics from time-series data. - Yongyi Liu, Ahmed Mahmood, Amr Magdy, Minyao Zhu:
SOLAR: Scalable Distributed Spatial Joins through Learning-based Optimization. - Mingyang Xu, Jiayi Shao, Yulan Ju, Ximing Shen, Qingyuan Gao, Weijen Chen, Qing Zhang, Yun Suen Pai, Giulia Barbareschi, Matthias Hoppe, Kouta Minamizawa, Kai Kunze:
Cuddle-Fish: Exploring a Soft Floating Robot with Flapping Wings for Physical Interactions. - Hui Li, Zhen Dong, Siao Wang, Hui Zhang, Liwei Shen, Xin Peng, Dongdong She:
Extracting Formal Specifications from Documents Using LLMs for Automated Testing. - Bairu Hou, Yang Zhang, Jiabao Ji, Yujian Liu, Kaizhi Qian, Jacob Andreas, Shiyu Chang:
ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning. - Yimiao Sun, Weiguo Wang, Luca Mottola, Ruijin Wang, Yuan He:
AIM: Acoustic Inertial Measurement for Indoor Drone Localization and Tracking. - Shiyong Liu, Zhihao Li, Xiao Tang, Jianzhuang Liu:
Direction-Aware Hybrid Representation Learning for 3D Hand Pose and Shape Estimation. - Takumi Kobayashi, Masato Kobayashi, Thanpimon Buamanee, Yuki Uranishi:
Bi-LAT: Bilateral Control-Based Imitation Learning via Natural Language and Action Chunking with Transformers. - Tongtong Liu, Zhaohui Wang, Meiyue Qin, Zenghui Lu, Xudong Chen, Yuekui Yang, Peng Shu:
Real-time Ad retrieval via LLM-generative Commercial Intention for Sponsored Search Advertising. - Lasini Liyanage, Nalin A. G. Arachchilage, Giovanni Russello:
A Novel Framework To Assess Cybersecurity Capability Maturity. - Wei Shi, Xun Lu, Kai Liu, Bin Wang:
A novel semi-analytical multiple invariants-preserving integrator for conservative PDEs. - Jiawei Wang, Yushen Zuo, Yuanjun Chai, Zhendong Liu, Yicheng Fu, Yichun Feng, Kin-Man Lam:
Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks. - Lingxiao Guan, Yuanhao Huang, Jie Liu:
Biomedical Question Answering via Multi-Level Summarization on a Local Knowledge Graph. - Trevor Karpinski, Alexander Blakesley, Jakub Król, Bani Anvari, George Gorospe, Liang Sun:
Model-Predictive Planning and Airspeed Regulation to Minimize Flight Energy Consumption. - Zhendong Tan, Xingjun Zhang, Chaoyi Hu, Yancheng Pan, Shaoxun Wang:
Adaptive Rectification Sampling for Test-Time Compute Scaling. - Chunhui Zhang, Li Liu, Jialin Gao, Xin Sun, Hao Wen, Xi Zhou, Shiming Ge, Yanfeng Wang:
COST: Contrastive One-Stage Transformer for Vision-Language Small Object Tracking. - Xingwei Hu, Xinjie Dai, Aiguo Xiao:
The optimal strong convergence rates of the truncated EM and logarithmic truncated EM methods for multi-dimensional nonlinear stochastic differential equations. - Ke Zhu, Yu Wang, Jiangjiang Liu, Qunyi Xie, Shanshan Liu, Gang Zhang:
On Data Synthesis and Post-training for Visual Abstract Reasoning. - Jin Lian, Zhongyu Wan, Ming Gao, JunFeng Chen:
CFMD: Dynamic Cross-layer Feature Fusion for Salient Object Detection. - Min Shi, Shihao Wang, Chieh-Yun Chen, Jitesh Jain, Kai Wang, Junjun Xiong, Guilin Liu, Zhiding Yu, Humphrey Shi:
Slow-Fast Architecture for Video Multi-Modal Large Language Models. - Jing Wang, Jun-En Ding, Feng Liu, Elisa Kallioniemi, Shuqiang Wang, Wen-Xiang Tsai, Albert C. Yang:
Flexible and Explainable Graph Analysis for EEG-based Alzheimer's Disease Classification. - Dikshit Chauhan, Nitin Gupta, Anupam Yadav:
An Explainable Reconfiguration-Based Optimization Algorithm for Industrial and Reliability-Redundancy Allocation Problems. - Zhiji Cui, Zimin Liang, Lie Meng Pang, Hisao Ishibuchi, Miqing Li:
When to Truncate the Archive? On the Effect of the Truncation Frequency in Multi-Objective Optimisation. - Sorin Mihai Grigorescu, Mihai V. Zaha:
Inverse RL Scene Dynamics Learning for Nonlinear Predictive Control in Autonomous Vehicles. - Mohan Zhang, Pingzhi Li, Jie Peng, Mufan Qiu, Tianlong Chen:
Advancing MoE Efficiency: A Collaboration-Constrained Routing (C2R) Strategy for Better Expert Parallelism Design. - Manolo Canales Cuba, Vinícius do Carmo Melício, João Paulo Gois:
FlowMotion: Target-Predictive Conditional Flow Matching for Jitter-Reduced Text-Driven Human Motion Generation. - Yu Nakahata, Shun Arizono, Shoji Kasahara:
Computing Time-varying Network Reliability using Binary Decision Diagrams. - Jungyeul Park:
Foundations and Evaluations in NLP. - Sicheng Liu, Qun Wang, Zhuwei Qin, Weishan Zhang, Jingyi Wang, Xiang Ma:
IRS Assisted Decentralized Learning for Wideband Spectrum Sensing. - Akil Raj Subedi, Taniya Shah, Aswani Kumar Cherukuri, Thanos Vasilakos:
Breaking BERT: Gradient Attack on Twitter Sentiment Analysis for Targeted Misclassification. - Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He:
GTR: Graph-Table-RAG for Cross-Table Question Answering. - Zhe Jiang, Minli Liao, Sam Ainsworth, Dean You, Timothy M. Jones:
MEEK: Re-thinking Heterogeneous Parallel Error Detection Architecture for Real-World OoO Superscalar Processors. - Yuji Nozawa, Yu-Chieh Lin, Kazumoto Nakamura, Youyang Ng:
Prompt-Guided Attention Head Selection for Focus-Oriented Image Retrieval. - Allison Koenecke, Edward H. Stiglitz, David Mimno, Matthew Wilkens:
Tasks and Roles in Legal AI: Data Curation, Annotation, and Verification. - Sanket A. Salunkhe, Pranav Nedunghat, Luca Morando, Nishanth Bobbili, Guanrui Li, Giuseppe Loianno:
Intuitive Human-Drone Collaborative Navigation in Unknown Environments through Mixed Reality. - Jonas Oppenlaender, Ujwal Gadiraju, Simo Hosio:
Quo Vadis, HCOMP? A Review of 12 Years of Research at the Frontier of Human Computation and Crowdsourcing. - Boning Meng, Yicheng Pan:
Dichotomies for #CSP on graphs that forbid a clique as a minor. - Khoa A. Tran, John V. Pearson, Nicola Waddell:
xML-workFlow: an end-to-end explainable scikit-learn workflow for rapid biomedical experimentation. - Ruihao Du, Zeshen Li, Howard H. Yang:
Age-Aware Partial Gradient Update Strategy for Federated Learning Over the Air. - Zirui Wu, Jianteng Chen, Laijian Li, Shaoteng Wu, Zhikai Zhu, Kang Xu, Martin R. Oswald, Jie Song:
3D Gaussian Inverse Rendering with Approximated Global Illumination. - Zhiliang Deng, Xiaofei Guan, Haiyang Liu, Zhiyuan Wang, Xiaomei Yang:
A Bayesian approach for inverse potential problem with topological-Gaussian prior. - Jennifer Sharp, Joshua Kelson, Daryl South, Anthony Saliba, Muhammad Ashad Kabir:
Virtual Reality and Artificial Intelligence as Psychological Countermeasures in Space and Other Isolated and Confined Environments: A Scoping Review. - Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park:
Enhancing Computational Notebooks with Code+Data Space Versioning. - Lin Zhang, Zhouhong Gu, Suhang Zheng, Tao Wang, Tianyu Li, Hongwei Feng, Yanghua Xiao:
LITE: LLM-Impelled efficient Taxonomy Evaluation. - Souradeep Das, Konpat Preechakul, Jonas Bäumer, Riddhi Patel, Jefferson Jinchuan Li:
Accelerating Blockchain Scalability: New Models for Parallel Transaction Execution in the EVM. - Yuqi Ye, Li You, Hao Xu, Ahmed Elzanaty, Kai-Kit Wong, Xiqi Gao:
SCNR Maximization for MIMO ISAC Assisted by Fluid Antenna System. - Emadeldeen Eldele, Mohamed Ragab, Xu Qing, Edward, Zhenghua Chen, Min Wu, Xiaoli Li, Jay Lee:
UniFault: A Fault Diagnosis Foundation Model from Bearing Data. - Chris Misa, Ramakrishnan Durairajan, Arpit Gupta, Reza Rejaie, Walter Willinger:
The Multifractal IP Address Structure: Physical Explanation and Implications. - Hanxi Fang, Supawit Chockchowwat, Hari Sundaram, Yongjoo Park:
Large-scale Evaluation of Notebook Checkpointing with AI Agents. - Chenyao Suo, Jianrong Wang, Yongjia Wang, Jiajun Jiang, Qingchao Shen, Junjie Chen:
DESIL: Detecting Silent Bugs in MLIR Compiler Infrastructure. - Zhe Jiang, Sam Ainsworth, Timothy M. Jones:
FireGuard: A Generalized Microarchitecture for Fine-Grained Security Analysis on OoO Superscalar Cores. - Tianci Xue, Weijian Qi, Tianneng Shi, Chan Hee Song, Boyu Gou, Dawn Song, Huan Sun, Yu Su:
An Illusion of Progress? Assessing the Current State of Web Agents. - Chang-Bin Zhang, Jinhong Ni, Yujie Zhong, Kai Han:
v-CLR: View-Consistent Learning for Open-World Instance Segmentation. - Junjie Wu, Jiangtao Xie, Zhaolin Zhang, Qilong Wang, Qinghua Hu, Peihua Li, Sen Xu:
DALIP: Distribution Alignment-based Language-Image Pre-Training for Domain-Specific Data. - Junyu Hou:
De Novo Molecular Design Enabled by Direct Preference Optimization and Curriculum Learning. - Hany M. Arnaoot:
Navigating the Uncharted Waters: A Gradual Approach to the Certification and Integration of Maritime Autonomous Surface Ships (MASS) in Global Maritime Operations. - Kecen Li, Chen Gong, Xiaochen Li, Yuzhong Zhao, Xinwen Hou, Tianhao Wang:
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis. - Zheng Yang, Ruoxin Chen, Zhiyuan Yan, Ke-Yue Zhang, Xinghe Fu, Shuang Wu, Xiujun Shu, Taiping Yao, Junchi Yan, Shouhong Ding, Xi Li:
All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning. - Katerina Hlavácková-Schindler, Rainer Wöß, Vera Pecorino, Philip Schindler:
Cause or Trigger? From Philosophy to Causal Modeling. - Haibo Zhang, Zhihua Yao, Kouichi Sakurai, Takeshi Saitoh:
Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense. - Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu:
ToolACE-R: Tool Learning with Adaptive Self-Refinement. - Yunfan Zeng, Guangyan Cai, Shuang Zhao:
A Survey on Physics-based Differentiable Rendering. - Ming Pang, Chunyuan Yuan, Xiaoyu He, Zheng Fang, Donghao Xie, Fanyi Qu, Xue Jiang, Changping Peng, Zhangang Lin, Zheng Luo, Jingping Shao:
Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval. - Lingxiao Tang, Jiakun Liu, Zhongxin Liu, Xiaohu Yang, Lingfeng Bao:
LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models. - Joong-Ku Lee, Hyeonseok Choi, Young Soo Park, Jee-Hwan Ryu:
Teaching Robots to Handle Nuclear Waste: A Teleoperation-Based Learning Approach<. - Junwen Pan, Rui Zhang, Xin Wan, Yuan Zhang, Ming Lu, Qi She:
TimeSearch: Hierarchical Video Search with Spotlight and Reflection for Human-like Long Video Understanding. - Korbinian Möller, Luis Schwarzmeier, Johannes Betz:
From Shadows to Safety: Occlusion Tracking and Risk Mitigation for Urban Autonomous Driving. - Korbinian Möller, Truls Nyberg, Jana Tumova, Johannes Betz:
Pedestrian-Aware Motion Planning for Autonomous Driving in Complex Urban Scenarios. - Brahim Mefgouda, Hanen Idoudi, Mohammad Al-Quraan, Ismail Lotfi, Omar Alhussein, Lina S. Mohjazi, Sami Muhaidat:
Balancing Subjectivity and Objectivity in Network Selection: A Decision-Making Framework Towards Digital Twins. - Eduard Kuric, Peter Demcak, Matus Krajcovic, Jan Lang:
Systematic Literature Review of Automation and Artificial Intelligence in Usability Issue Detection. - Shu Han, Xubo Zhu, Ji Wu, Ximeng Cai, Wen Yang, Huai Yu, Gui-Song Xia:
DF-Calib: Targetless LiDAR-Camera Calibration via Depth Flow. - Athena Wen, Tanush Patil, Ansh Saxena, Yicheng Fu, Sean O'Brien, Kevin Zhu:
FAIRE: Assessing Racial and Gender Bias in AI-Driven Resume Evaluations. - L. Zhang, C. Feng, T. Xia:
Optimization of BLE Broadcast Mode in Offline Finding Network. - Yichen Sun, Chenggang Cui, Chuanlin Zhang, Chunyang Gong:
Dynamic Incentive Strategies for Smart EV Charging Stations: An LLM-Driven User Digital Twin Approach. - Bernhard C. Geiger, Roman Kern:
On the Role of Priors in Bayesian Causal Learning. - Zhuangzhuang Chen, Hualiang Wang, Chubin Ou, Xiaomeng Li:
MuTri: Multi-view Tri-alignment for OCT to OCTA 3D Image Translation. - Zhaoxing Li, Xiaoming Zhang, Haifeng Zhang, Chengxiang Liu:
Refining Interactions: Enhancing Anisotropy in Graph Neural Networks with Language Semantics. - Soutrik Bandyopadhyay, Debasattam Pal, Shubhendu Bhasin:
Behavioral Inequalities. - Zhongshuo Lin, Qingkui Ma, Hehu Xie, Xiaobo Yin:
Solving Time-Fractional Partial Integro-Differential Equations Using Tensor Neural Network. - Xiangwang Hou, Jingjing Wang, Zekai Zhang, Jiacheng Wang, Lei Liu, Yong Ren:
Split Federated Learning for UAV-Enabled Integrated Sensing, Computation, and Communication. - Aofan Liu, Lulu Tang, Ting Pan, Yuguo Yin, Bin Wang, Ao Yang:
PiCo: Jailbreaking Multimodal Large Language Models via Pictorial Code Contextualization. - Philipp Mondorf, Shijia Zhou, Monica Riedler, Barbara Plank:
Enabling Systematic Generalization in Abstract Spatial Reasoning through Meta-Learning for Compositionality. - Hang Li, Shengyao Zhuang, Bevan Koopman, Guido Zuccon:
LLM-VPRF: Large Language Model Based Vector Pseudo Relevance Feedback. - Zaipeng Duan, Xuzhong Hu, Pei An, Jie Ma:
Multimodal Point Cloud Semantic Segmentation With Virtual Point Enhancement. - Runlong Zhou, Yi Zhang:
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models. - Jie Xu, Yongxin Ma, Yixuan Li, Xuanxuan Zhang, Jun Zhou, Shenghai Yuan, Lihua Xie:
Dynamic Initialization for LiDAR-inertial SLAM. - Encheng Su, Hu Cao, Alois Knoll:
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models. - Ting Meng, Chunyun Fu, Xiangyan Yan, Zheng Liang, Pan Ji, Jianwen Wang, Tao Huang:
Deep LG-Track: An Enhanced Localization-Confidence-Guided Multi-Object Tracker. - Jian Wang, Zhuo Zhao, Zeng Jie Wang, Bo Da Cheng, Lei Nie, Wen Luo, Zhao Yuan Yu, Ling Wang Yuan:
GeoRAG: A Question-Answering Approach from a Geographical Perspective. - Llewyn Salt, Marcus Gallagher:
Probabilistic Curriculum Learning for Goal-Based Reinforcement Learning. - Haoze Song, Yongqi Wang, Xusheng Chen, Hao Feng, Yazhi Feng, Xieyun Fang, Heming Cui, Linghe Kong:
K2: On Optimizing Distributed Transactions in a Multi-region Data Store with TrueTime Clocks (Extended Version). - Akira Hatakeyama, Shota Ito, Toshihiko Yanase, Naoya Ozaki:
A Prefixed Patch Time Series Transformer for Two-Point Boundary Value Problems in Three-Body Problems. - Kai Zhang, Dandan Zhu, Xiongkuo Min, Guangtao Zhai:
Mesh Mamba: A Unified State Space Model for Saliency Prediction in Non-Textured and Textured Meshes. - Sangmin Jeon, Kangju Lee, Kyeongwon Lee, Woojoo Lee:
HH-PIM: Dynamic Optimization of Power and Performance with Heterogeneous-Hybrid PIM for Edge AI Devices. - Soumyya Kanti Datta, Shan Jia, Siwei Lyu:
Detecting Lip-Syncing Deepfakes: Vision Temporal Transformer for Analyzing Mouth Inconsistencies. - Yuejiao Su, Yi Wang, Qiongyang Hu, Chuang Yang, Lap-Pui Chau:
ANNEXE: Unified Analyzing, Answering, and Pixel Grounding for Egocentric Interaction. - Junlong Ren, Hao Wang:
Enhanced Cross-modal 3D Retrieval via Tri-modal Reconstruction. - Hexu Li, Hengfeng Wei, Hongrong Ouyang, Yuxing Chen, Na Yang, Ruohao Zhang, Anqun Pan:
Online Timestamp-based Transactional Isolation Checking of Database Systems (Extended Version). - Roxane Cohen, Robin David, Florian Yger, Fabrice Rossi:
Identifying Obfuscated Code through Graph-Based Semantic Analysis of Binary Code. - Qihao Ye, Xiaochuan Tian, Yuhua Zhu:
A Robust Model-Based Approach for Continuous-Time Policy Evaluation with Unknown Lévy Process Dynamics. - Siran Li, Ruiyang Liu, Chen Liu, Zhendong Wang, Gaofeng He, Yong-Lu Li, Xiaogang Jin, Huamin Wang:
GarmageNet: A Dataset and Scalable Representation for Generic Garment Modeling. - Gerome Quantmeyer:
Diameter Shortcut Sets on Temporal Graphs. - Max Klimm, Martin Knaack:
Generalized Assignment and Knapsack Problems in the Random-Order Model. - Mehdi Badsi, Nicolas Crouseilles:
Discrete stability estimates for the pressureless Euler-Poisson-Boltzmann equations in the Quasi-Neutral limit. - Changshuo Zhang, Xiao Zhang, Teng Shi, Jun Xu, Ji-Rong Wen:
Test-Time Alignment for Tracking User Interest Shifts in Sequential Recommendation. - Markus Matoni, Arno Kesper, Gabriele Taentzer:
How to Define the Quality of Data? A Feature-Based Literature Survey. - Antoine Chevrot, Alexandre Vernotte, Jean-Rémy Falleri, Xavier Blanc, Bruno Legeard:
Are Autonomous Web Agents Good Testers? - Elias Jarlebring, Gustaf Lorentzon:
The Polynomial Set Associated with a Fixed Number of Matrix-Matrix Multiplications. - Ziteng Cui, Xuangeng Chu, Tatsuya Harada:
Luminance-GS: Adapting 3D Gaussian Splatting to Challenging Lighting Conditions with View-Adaptive Curve Adjustment. - Mélanie Cambus, Darya Melnyk, Tijana Milentijevic, Stefan Schmid:
Approximate Agreement Algorithms for Byzantine Collaborative Learning. - Yongjun He, Roger Waleffe, Zhichao Han, Johnu George, Binhang Yuan, Zitao Zhang, Yinan Shan, Yang Zhao, Debojyoti Dutta, Theodoros Rekatsinas, Ce Zhang:
MLKV: Efficiently Scaling up Large Embedding Model Training with Disk-based Key-Value Storage. - Huishi Huang, Haozhe Wang, Chongyu Fang, Mingge Yan, Ruochen Xu, Yiyuan Zhang, Zhanchi Wang, Fengkang Ying, Jun Liu, Cecilia Laschi, Marcelo H. Ang Jr:
Grasping by Spiraling: Reproducing Elephant Movements with Rigid-Soft Robot Synergy. - Pu Wang, Yu Zhang, Zhuoran Zheng:
UAKNN: Label Distribution Learning via Uncertainty-Aware KNN. - Zhengwei Tao, Zhi Jin, Bincheng Li, Xiaoying Bai, Haiyan Zhao, Chengfeng Dou, Xiancai Chen, Jia Li, Linyu Li, Chongyang Tao:
PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation. - Ivana Ban, Jacopo Bonari, Marco Paggi:
A computational framework for evaluating tire-asphalt hysteretic friction including pavement roughness. - Yiyang Shen, Kun Zhou, He Wang, Yin Yang, Tianjia Shao:
High-fidelity 3D Object Generation from Single Image with RGBN-Volume Gaussian Reconstruction Model. - Zixuan Wang, Duo Peng, Feng Chen, Yuwei Yang, Yinjie Lei:
Training-free Dense-Aligned Diffusion Guidance for Modular Conditional Image Synthesis. - Zhiyuan Tang, Dong Wang, Zhikai Zhou, Yong Liu, Shen Huang, Shidong Shang:
Chain of Correction for Full-text Speech Recognition with Large Language Models. - Jincheng Zhong, Xiangcheng Zhang, Jianmin Wang, Mingsheng Long:
Domain Guidance: A Simple Transfer Approach for a Pre-trained Diffusion Model. - Silvia Fernandez Sabido, Laura Peniche-Sabido:
Redefining technology for indigenous languages. - Xuemeng Cai, Lingxiao Jiang:
Adapting Knowledge Prompt Tuning for Enhanced Automated Program Repair. - Olivier Rukundo:
Beyond Nearest Neighbor Interpolation in Data Augmentation. - Martin Schneider, Hanchuan Wu, Maziar Veyskarami, Sorin Pop, Rainer Helmig:
Improvement of fully-implicit two-phase pore-network models by employing generalized flux functions with additional throat variables. - Xiaobei Zou, Luolin Xiong, Kexuan Zhang, Cesare Alippi, Yang Tang:
DRAN: A Distribution and Relation Adaptive Network for Spatio-temporal Forecasting. - Zhuoran Yang, Jie Peng, Zhen Tan, Tianlong Chen, Yanyong Zhang:
LightDefense: A Lightweight Uncertainty-Driven Defense against Jailbreaks via Shifted Token Distribution. - Adrien Schurger-Foy, Rafal Dariusz Kocielnik, Caglar Gulcehre, R. Michael Alvarez:
Context-Aware Toxicity Detection in Multiplayer Games: Integrating Domain-Adaptive Pretraining and Match Metadata. - You-Le Fang, Dong-Shan Jian, Xiang Li, Yan-Qing Ma:
AI-Newton: A Concept-Driven Physical Law Discovery System without Prior Physical Knowledge. - Mikkel Wildner Kildeberg, Emil Allerslev Schledermann, Nicolaj Larsen, Rob van der Goot:
From Smør-re-brød to Subwords: Training LLMs on Danish, One Morpheme at a Time. - Meng Yuan, Yutian Xiao, Wei Chen, Chu Zhao, Deqing Wang, Fuzhen Zhuang:
Hyperbolic Diffusion Recommender Model. - Amanda Myntti, Erik Henriksson, Veronika Laippala, Sampo Pyysalo:
Register Always Matters: Analysis of LLM Pretraining Data Through the Lens of Language Variation. - Clément L. Canonne, Yun Li, Seeun William Umboh:
Local Computation Algorithms for Knapsack: impossibility results, and how to avoid them. - Luca Ciampi, Gabriele Lagani, Giuseppe Amato, Fabrizio Falchi:
Semi-Supervised Biomedical Image Segmentation via Diffusion Models and Teacher-Student Co-Training. - Valdis Vitolins:
Business Process Modeling Using a Metamodeling Approach. - Ashkan Yousefpour, Taeheon Kim, Ryan S. Kwon, Seungbeen Lee, Wonje Jeung, Seungju Han, Alvin Wan, Harrison Ngan, Youngjae Yu, Jonghyun Choi:
Representation Bending for Large Language Model Safety. - Simon Ferreira, Charles K. Assaad:
Identifying Macro Causal Effects in C-DMGs. - Zihao Wu:
Bhakti: A Lightweight Vector Database Management System for Endowing Large Language Models with Semantic Search Capabilities and Memory. - Hung Hon Cheng, Josie Hughes:
8-DoFs Cable Driven Parallel Robots for Bimanual Teleportation. - Shujing Wang, Selasi Kwashie, Michael Bewong, Junwei Hu, Vincent Mwintieru Nofong, Shiqi Miao, Zaiwen Feng:
FastER: Fast On-Demand Entity Resolution in Property Graphs. - Yahui Li, Zhi Zeng, Liming Pang, Guixuan Zhang, Shuwu Zhang:
RealityAvatar: Towards Realistic Loose Clothing Modeling in Animatable 3D Gaussian Avatars. - Eneko Osaba, Esther Villar-Rodriguez, Pablo Miranda-Rodriguez, Antón Asla:
Optimizing Package Delivery with Quantum Annealers: Addressing Time-Windows and Simultaneous Pickup and Delivery. - Aleksander Plocharski, Jan Swidzinski, Przemyslaw Musialski:
Pro-DG: Procedural Diffusion Guidance for Architectural Facade Generation. - Antoine Amarilli, Benoît Groz:
Cutwidth Bounds via Vertex Partitions. - Dean You, Jieyu Jiang, Xiaoxuan Wang, Yushu Du, Zhihang Tan, Wenbo Xu, Hui Wang, Jiapeng Guan, Zhenyuan Wang, Ran Wei, Shuai Zhao, Zhe Jiang:
MERE: Hardware-Software Co-Design for Masking Cache Miss Latency in Embedded Processors. - Xinyi Li, Shenghai Yuan, Haoxin Cai, Shunan Lu, Wenhua Wang, Jianqi Liu:
LL-Localizer: A Life-Long Localization System based on Dynamic i-Octree. - Julius P. J. Krebbekx, Roland Tóth, Amritam Das:
Nonlinear Bandwidth and Bode Diagrams based on Scaled Relative Graphs. - Luca Garello, Giulia Belgiovine, Gabriele Russo, Francesco Rea, Alessandra Sciutti:
Building Knowledge from Interactions: An LLM-Based Architecture for Adaptive Tutoring and Social Reasoning. - Zhaochen Wang, Bryan Hooi, Yiwei Wang, Ming-Hsuan Yang, Zi Huang, Yujun Cai:
Text Speaks Louder than Vision: ASCII Art Reveals Textual Biases in Vision-Language Models. - Adriano Fragomeni, Dima Damen, Michael Wray:
Leveraging Modality Tags for Enhanced Cross-Modal Video Retrieval. - James O'Keeffe:
Anticipating Degradation: A Predictive Approach to Fault Tolerance in Robot Swarms. - Jijun Xiang, Xuan Zhu, Xianqi Wang, Yu Wang, Hong Zhang, Fei Guo, Xin Yang:
DEPTHOR: Depth Enhancement from a Practical Light-Weight dToF Sensor and RGB Image. - Daniel Selvaratnam, Alessio Moreschini, Amritam Das, Thomas Parisini, Henrik Sandberg:
Frequency-Domain Bounds for the Multiconductor Telegrapher's Equation. - Changshuo Zhang, Zihan Lin, Shukai Liu, Yongqi Liu, Han Li:
Comment Staytime Prediction with LLM-enhanced Comment Understanding. - Yizhe Tang, Zhimin Sun, Yuzhen Du, Ran Yi, Guangben Lu, Teng Hu, Luying Li, Lizhuang Ma, Fangyuan Zou:
ATA: Adaptive Transformation Agent for Text-Guided Subject-Position Variable Background Inpainting. - Renda Han, Guangzhen Yao, Wenxin Zhang, Yu Li, Wen Xin, Huajie Lei, Mengfei Li, Zeyu Zhang, Chengze Du, Yahe Tian:
Multi-Relation Graph-Kernel Strengthen Network for Graph-Level Clustering. - Laurent Bobelin, Sabine Frittella, Mariam Wehbe:
Vers une modélisation de la confiance dans le renseignement sur les menaces cyber. - Hao Wu, Hao Wang, Ruochong Li, Xuran Ma, Hui Xiong:
3DBonsai: Structure-Aware Bonsai Modeling Using Conditioned 3D Gaussian Splatting. - Haidong Wu, Snehal Bhayani, Janne Heikkilä:
A Conic Transformation Approach for Solving the Perspective-Three-Point Problem. - Lena Schmidt, Oshin Sharma, Chris Marshall, Sonia Garcia Gonzalez Moral:
Horizon Scans can be accelerated using novel information retrieval and artificial intelligence tools. - Thomas Müller-Gronbach, Christopher Rauhögger, Larisa Yaroslavtseva:
On the performance of the Euler-Maruyama scheme for multidimensional SDEs with discontinuous drift coefficient. - Giulia Marchiori Pietrosanti, Giulio Rossolini, Alessandro Biondi, Giorgio C. Buttazzo:
Benchmarking the Spatial Robustness of DNNs via Natural and Adversarial Localized Corruptions. - Reo Abe, Akifumi Ito, Kanata Takayasu, Satoshi Kurihara:
LLM-mediated Dynamic Plan Generation with a Multi-Agent Approach. - Taoran Wu, Yiling Xue, Jingduo Pan, Dejin Ren, Arvind Easwaran, Bai Xue:
Convex Computations for Controlled Safety Invariant Sets of Black-box Discrete-time Dynamical Systems. - Zhixin Cheng, Jiacheng Deng, Xinjun Li, Baoqun Yin, Tianzhu Zhang:
Bridge 2D-3D: Uncertainty-aware Hierarchical Registration Network with Domain Alignment. - Kazuma Arii, Satoshi Kurihara:
Proposition of Affordance-Driven Environment Recognition Framework Using Symbol Networks in Large Language Models. - Tobias Fischer, Samuel Rota Bulò, Yung-Hsu Yang, Nikhil Varma Keetha, Lorenzo Porzi, Norman Müller, Katja Schwarz, Jonathon Luiten, Marc Pollefeys, Peter Kontschieder:
FlowR: Flowing from Sparse to Dense 3D Reconstructions. - Haosheng Li, Yuecong Xu, Junjie Chen, Kemi Ding:
ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation. - Sara Ruiz-Moreno, Antonio Javier Gallego, Manuel Macías, Eduardo F. Camacho:
Market-Oriented Flow Allocation for Thermal Solar Plants: An Auction-Based Methodology with Artificial Intelligence. - Yiting Lu, Xin Li, Haoning Wu, Bingchen Li, Weisi Lin, Zhibo Chen:
Q-Adapt: Adapting LMM for Visual Quality Assessment with Progressive Instruction Tuning. - Haosheng Li, Junjie Chen, Yuecong Xu, Kemi Ding:
Robust Unsupervised Domain Adaptation for 3D Point Cloud Segmentation Under Source Adversarial Attacks. - Sarah N. Alyami, Hamzah Luqman:
CLIP-SLA: Parameter-Efficient CLIP Adaptation for Continuous Sign Language Recognition. - Cedric Lothritz, Jordi Cabot:
Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish. - Junjie Chen, Yuecong Xu, Haosheng Li, Kemi Ding:
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation. - Bo-Kai Ruan, Yi-Zeng Fang, Hong-Han Shuai, Juinn-Dar Huang:
Anomaly Detection for Hybrid Butterfly Subspecies via Probability Filtering. - Maxime Henri Aspros, Juan Sapriza, Giovanni Ansaloni, David Atienza:
A flexible framework for early power and timing comparison of time-multiplexed CGRA kernel executions. - Yuanming Shi, Jingyang Zhu, Chunxiao Jiang, Linling Kuang, Khaled B. Letaief:
Satellite Edge Artificial Intelligence with Large Models: Architectures and Technologies. - Lukas Schüepp, Giulia De Pasquale, Florian Dörfler, Carmen Amo Alonso:
System Level Synthesis for Affine Control Policies: Model Based and Data-Driven Settings. - Noam Elata, Hyungjin Chung, Jong Chul Ye, Tomer Michaeli, Michael Elad:
InvFussion: Bridging Supervised and Zero-shot Diffusion for Inverse Problems. - Taehan Lee, Hyukjun Lee:
Token Pruning in Audio Transformers: Optimizing Performance and Decoding Patch Importance. - Yi-Long Lu, Chunhui Zhang, Jiajun Song, Lifeng Fan, Wei Wang:
ToM-RL: Reinforcement Learning Unlocks Theory of Mind in Small LLMs. - Shaoshuai Chu, Michael Herty, Eleuterio F. Toro:
High-Order Flux Splitting Schemes for the Euler Equations of Gas Dynamics. - Hamed Rahimi, Jeanne Cattoni, Meriem Beghili, Mouad Abrini, Mahdi Khoramshahi, Maribel Pino, Mohamed Chetouani:
Reasoning LLMs for User-Aware Multimodal Conversational Agents. - Md Mahabub Uz Zaman, Xiang Sun, Jingjing Yao:
Sky of Unlearning (SoUL): Rewiring Federated Machine Unlearning via Selective Pruning. - Bowen Cao, Deng Cai, Wai Lam:
InfiniteICL: Breaking the Limit of Context Window Size via Long Short-term Memory Transformation. - Petr Vanc, Karla Stépánová:
TransforMerger: Transformer-based Voice-Gesture Fusion for Robust Human-Robot Communication. - Naoki Hirakura:
Method for Mitigating Attention to Inappropriate Content Based on Attention Dynamics Model. - Weirong Meng, Weijun Fang, Fang-Wei Fu, Haiyan Zhou, Ziyi Gu:
Construction of MDS Euclidean Self-Dual Codes via Multiple Subsets. - Bin Han, Fabienne Renckens, C. Clark Cao, Hans D. Schotten:
A Novel Dynamic Epidemic Model for Successive Opinion Diffusion in Social Networks. - Ke Jiang, Wen Jiang, Yao Li, Xiaoyang Tan:
Beyond Non-Expert Demonstrations: Outcome-Driven Action Constraint for Offline Reinforcement Learning. - Alexander Meduna, Dominik Nejedlý, Zbynek Krivka:
Input-Erasing Two-Way Finite Automata. - Xilai Fan, Bo Jiang, Ya-Feng Liu:
An Adaptive Proximal Inexact Gradient Framework and Its Application to Per-Antenna Constrained Joint Beamforming and Compression Design. - Kaan Karaman, Yuchang Jiang, Damien Robert, Vivien Sainte Fare Garnot, Maria João Santos, Jan Dirk Wegner:
GSR4B: Biomass Map Super-Resolution with Sentinel-1/2 Guidance. - Yuxuan Luo, Zhengkun Rong, Lizhen Wang, Longhao Zhang, Tianshu Hu, Yongming Zhu:
DreamActor-M1: Holistic, Expressive and Robust Human Image Animation with Hybrid Guidance. - Christian Schulz, Henning Woydt:
Shared-Memory Hierarchical Process Mapping. - Abbas Ballout, Oscar A. Mariño, Gerasimos Ntoukas, Gonzalo Rubio, Esteban Ferrer:
Acoustic Propagation/Refraction Through Diffuse Interface Models. - Asit Kumar Pradhan, Nithin Raveendran, Narayanan Rengaswamy, Bane Vasic:
Linear Time Iterative Decoders for Hypergraph-Product and Lifted-Product Codes. - Mrityunjoy Gain, Kitae Kim, Avi Deb Raha, Apurba Adhikary, Walid Saad, Zhu Han, Choong Seon Hong:
AI-Driven Framework for Multi-Service Multi-Modal Devices in NextG ORAN Systems. - Ulas Gunes, Matias Turkulainen, Xuqian Ren, Arno Solin, Juho Kannala, Esa Rahtu:
FIORD: A Fisheye Indoor-Outdoor Dataset with LIDAR Ground Truth for 3D Scene Reconstruction and Benchmarking. - Xiaolong Liang, Yì N. Wáng:
Epistemic Skills: Reasoning about Knowledge and Oblivion. - Chaohu Liu, Tianyi Gui, Yu Liu, Linli Xu:
AdPO: Enhancing the Adversarial Robustness of Large Vision-Language Models with Preference Optimization. - Marie-Hélène Azam, Julien Berger, Edouard Walther, Sihem Guernouti:
Design and Experimental Validation of an Urban Microclimate Tool Integrating Indoor-Outdoor Detailed Longwave Radiative Fluxes at District Scale. - Tiantian Liu, Weishi Xu, Meng Wan, Jue Wang:
Enlightenment Period Improving DNN Performance. - Philip Lippmann, Jie Yang:
Style over Substance: Distilled Language Models Reason Via Stylistic Replication. - Lukas Boehm, Jonas Leo Mueller, Christoffer Löffler, Leo Schwinn, Björn M. Eskofier, Dario Zanca:
Understanding Cross-Model Perceptual Invariances Through Ensemble Metamers. - Neville Kenneth Kitson, Anthony C. Constantinou:
Stable Structure Learning with HC-Stable and Tabu-Stable Algorithms. - Zhiling Zhu, Tieming Chen, Chengwei Liu, Han Liu, Qijie Song, Zhengzi Xu, Yang Liu:
Doctor: Optimizing Container Rebuild Efficiency by Instruction Re-Orchestration. - Vu Viet Hoang, Hung The Tran, Sunil Gupta, Vu Nguyen:
High Dimensional Bayesian Optimization using Lasso Variable Selection. - Jinhao Ouyang, Yuan Liu, Hang Liu:
A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power Control. - Xin Su, Chen Wu, Zhuoran Zheng:
Bridge the Gap between SNN and ANN for Image Restoration. - Dongyan Sui, Haotian Pu, Siyang Leng, Stefan Vlaski:
Hidden Markov Model Filtering with Equal Exit Probabilities. - Minghui Yu, Rui Chen:
A First-Order Linear Energy Stable Scheme for the Cahn-Hilliard Equation with Dynamic Boundary Conditions under the Effect of Hyperbolic Relaxation. - Mingrui Ye, Lianping Yang, Hegui Zhu, Zenghao Zheng, Xin Wang, Yantao Lo:
Dual-stream Transformer-GCN Model with Contextualized Representations Learning for Monocular 3D Human Pose Estimation. - Anne Somalwar, Bruce D. Lee, George J. Pappas, Nikolai Matni:
Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error. - Theodoros Aivalis, Iraklis A. Klampanos, Antonis Troumpoukis, Joemon M. Jose:
Enhancing Interpretability in Generative AI Through Search-Based Data Influence Analysis. - Michal Feldman, Yoav Gal Tzur, Tomasz Ponitka, Maya Schlesinger:
Budget-Feasible Contracts. - Kegang Wang, Jiankai Tang, Yuxuan Fan, Jiatong Ji, Yuanchun Shi, Yuntao Wang:
Memory-efficient Low-latency Remote Photoplethysmography through Temporal-Spatial State Space Duality. - Arik Ermshaus, Patrick Schäfer, Ulf Leser:
CLaP - State Detection from Time Series. - Paula Strohbeck, Marco Discacciati, Iryna Rybak:
Optimized Schwarz method for the Stokes-Darcy problem with generalized interface conditions. - Yunqi Gu, Ian Huang, Jihyeon Je, Guandao Yang, Leonidas J. Guibas:
BlenderGym: Benchmarking Foundational Model Systems for Graphics Editing. - Cristina Martinez Montes, Birgit Penzenstadler, Robert Feldt:
The Factors Influencing Well-Being in Software Engineers: A Cross-Country Mixed-Method Study. - Sumeth Yuenyong, Thodsaporn Chay-intr, Kobkrit Viriyayudhakorn:
OpenThaiGPT 1.6 and R1: Thai-Centric Open Source and Reasoning Large Language Models. - Sveinung Johan Ohrem, Bent Oddvar A. Haugaløkken, Eleni Kelasidi:
SOLAQUA: SINTEF Ocean Large Aquaculture Robotics Dataset. - Limeng Qiao, Yiyang Gan, Bairui Wang, Jie Qin, Shuang Xu, Siqi Yang, Lin Ma:
UniViTAR: Unified Vision Transformer with Native Resolution. - Rohan Joy, Radha Ramakrishnan:
Optimal shift-invariant spaces from uniform measurements. - Jay Lee, Hanqi Su:
Rethinking industrial artificial intelligence: a unified foundation framework. - Calvin Kinateder:
A Novel Approach To Implementing Knowledge Distillation In Tsetlin Machines. - Zhijun Wang, Jiahuan Li, Hao Zhou, Rongxiang Weng, Jingang Wang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Shujian Huang:
Investigating and Scaling up Code-Switching for Multilingual Language Model Pre-Training. - Sepehr Assadi, Janani Sundaresan:
Distributed Triangle Detection is Hard in Few Rounds. - Felipe Sánchez González, Javier Pastor-Galindo, José A. Ruipérez-Valiente:
DISINFOX: an open-source threat exchange platform serving intelligence on disinformation and influence operations. - Kun Ouyang:
Spatial-R1: Enhancing MLLMs in Video Spatial Reasoning. - Yue Wang, Haoyu Wang, Zhaoxing Li:
Quattro: Transformer-Accelerated Iterative Linear Quadratic Regulator Framework for Fast Trajectory Optimization. - Robert Lefringhausen, Sami Leon Noel Aziz Hanna, Elias August, Sandra Hirche:
Barrier Certificates for Unknown Systems with Latent States and Polynomial Dynamics using Bayesian Inference. - Zsigmond Benko, Marcell Stippinger, Zoltán Somogyvári:
Inference of hidden common driver dynamics by anisotropic self-organizing neural networks. - Matej Kure, Adam Peichl, Jaroslav Busek, Nejat Olgaç, Tomás Vyhlídal:
Non-collocated vibration absorption using delayed resonator for spectral and spacial tuning - analysis and experimental validation. - Sean MacAvaney, Antonio Mallia, Nicola Tonellotto:
Efficient Constant-Space Multi-Vector Retrieval. - Huayang Huang, Xiangye Jin, Jiaxu Miao, Yu Wu:
Implicit Bias Injection Attacks against Text-to-Image Diffusion Models. - Dan Lin, Ziye Zheng, Jiajing Wu, Jingjing Yang, Kaixin Lin, Huan Xiao, Bowen Song, Zibin Zheng:
Track and Trace: Automatically Uncovering Cross-chain Transactions in the Multi-blockchain Ecosystems. - Sumuk Shashidhar, Clémentine Fourrier, Alina Lozovskia, Thomas Wolf, Gokhan Tur, Dilek Hakkani-Tür:
YourBench: Easy Custom Evaluation Sets for Everyone. - Hao Wu, Lei Yu:
Cramér-Rao Inequalities for Several Generalized Fisher Information. - Nusrat Munia, Abdullah-Al-Zubaer Imran:
Prompting Medical Vision-Language Models to Mitigate Diagnosis Bias by Generating Realistic Dermoscopic Images. - Minhu Park, Hongseok Oh, Eunkyung Choi, Wonseok Hwang:
LRAGE: Legal Retrieval Augmented Generation Evaluation Tool. - Jacob Hughes, Laurence Tratt:
Garbage Collection for Rust: The Finalizer Frontier. - Martin Jullum, Lars Henry Berge Olsen, Jon Lachmann, Annabelle Redelmeier:
shapr: Explaining Machine Learning Models with Conditional Shapley Values in R and Python. - Rui Lu:
Towards Compatibly Mitigating Technical Lag in Maven Projects. - Stéphane Pateux, Matthieu Gendrin, Luce Morin, Théo Ladune, Xiaoran Jiang:
BOGausS: Better Optimized Gaussian Splatting. - Salvador Lucas:
Confluence of Conditional Rewriting Modulo. - Giulio Starace, Oliver Jaffe, Dane Sherburn, James Aung, Jun Shern Chan, Leon Maksin, Rachel Dias, Evan Mays, Benjamin Kinsella, Wyatt Thompson, Johannes Heidecke, Amelia Glaese, Tejal Patwardhan:
PaperBench: Evaluating AI's Ability to Replicate AI Research. - Rohin Shah, Alex Irpan, Alexander Matt Turner, Anna Wang, Arthur Conmy, David Lindner, Jonah Brown-Cohen, Lewis Ho, Neel Nanda, Raluca Ada Popa, Rishub Jain, Rory Greig, Samuel Albanie, Scott Emmons, Sebastian Farquhar, Sébastien Krier, Senthooran Rajamanoharan, Sophie Bridgers, Tobi Ijitoye, Tom Everitt, Victoria Krakovna, Vikrant Varma, Vladimir Mikulik, Zachary Kenton, Dave Orr, Shane Legg, Noah D. Goodman, Allan Dafoe, Four Flynn, Anca D. Dragan:
An Approach to Technical AGI Safety and Security. - Ali Al-Kaswan, Sebastian Deatc, Begüm Koç, Arie van Deursen, Maliheh Izadi:
Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks. - Marc Schneider, Renato Loureiro, Torbjørn Cunis, Walter Fichter:
Virtual Target Trajectory Prediction for Stochastic Targets. - Jinyoung Choi, Junoh Kang, Bohyung Han:
Enhanced Diffusion Sampling via Extrapolation with Multiple ODE Solutions. - Eshan Chattopadhyay, Mohit Gurumukhani, Noam Ringach, Rocco A. Servedio:
Lower Bounds for Leader Election and Collective Coin Flipping, Revisited. - Zhiwei Yu, Tuo Li, Changhong Wang, Hui Chen, Lang Zhou:
Cross-Lingual Consistency: A Novel Inference Framework for Advancing Reasoning in Large Language Models. - Jaehyung Choi:
Hyperbolic decomposition of Dirichlet distance for ARMA models. - Yeong Gwang Son, Seunghwan Um, Ju Yong Hong, Tat Hieu Bui, Hyouk Ryeol Choi:
Corner-Grasp: Multi-Action Grasp Detection and Active Gripper Adaptation for Grasping in Cluttered Environments. - Mark D. Smucker, Houmaan Chamani:
Extending MovieLens-32M to Provide New Evaluation Objectives. - Yuchen Wang, Shangxin Guo, Chee Wei Tan:
From Code Generation to Software Testing: AI Copilot with Context-Based RAG. - Valeria Soto, Fernando Lopez-Caballero:
Focal Mechanism Uncertainty Quantification In Ground Motion Simulations Of Le Teil Earthquake. - Pragya Bhandari, Gema Rodríguez-Pérez:
Buggin: Automatic intrinsic bugs classification model using NLP and ML. - Thomas Bush, Stephen Chung, Usman Anwar, Adrià Garriga-Alonso, David Krueger:
Interpreting Emergent Planning in Model-Free Reinforcement Learning. - Jintao Zhang, Zimin Xia, Mingyue Dong, Shuhan Shen, Linwei Yue, Xianwei Zheng:
CoMatcher: Multi-View Collaborative Feature Matching. - Zheng-Peng Duan, Jiawei Zhang, Siyu Liu, Zheng Lin, Chun-Le Guo, Dongqing Zou, Jimmy S. J. Ren, Chongyi Li:
A Diffusion-Based Framework for Occluded Object Movement. - Ben Keslaki:
Architect Your Landscape Approach (AYLA) for Optimizations in Deep Learning. - Ian Xul Belaustegui, Alessio Franci, Naomi Ehrich Leonard:
Tunable Thresholds and Frequency Encoding in a Spiking NOD Controller. - Abhilash Reddy Shankarampeta, Harsh Mahajan, Tushar Kataria, Dan Roth, Vivek Gupta:
TransientTables: Evaluating LLMs' Reasoning on Temporally Evolving Semi-structured Tables. - Diego Cajaraville-Aboy, Marta Moure-Garrido, Carlos Beis-Penedo, Carlos García-Rubio, Rebeca P. Díaz Redondo, Celeste Campo, Ana Fernández Vilas, Manuel Fernández-Veiga:
CO-DEFEND: Continuous Decentralized Federated Learning for Secure DoH-Based Threat Detection. - Aashiq Muhamed, Mona T. Diab, Virginia Smith:
CoRAG: Collaborative Retrieval-Augmented Generation. - Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He:
GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning. - Shuang Qiu, Zhongcai Pei, Chen Wang, Jing Zhang, Zhiyong Tang:
A novel gesture interaction control method for rehabilitation lower extremity exoskeleton. - Shreyank N. Gowda, Boyan Gao, Xiao Gu, Xiaobo Jin:
Is Temporal Prompting All We Need For Limited Labeled Action Recognition? - Caroline Tatsuoka, Minglei Yang, Dongbin Xiu, Guannan Zhang:
Multi-fidelity Parameter Estimation Using Conditional Diffusion Models. - Robert M. Gower, Guillaume Garrigos, Nicolas Loizou, Dimitris Oikonomou, Konstantin Mishchenko, Fabian Schaipp:
Analysis of an Idealized Stochastic Polyak Method and its Application to Black-Box Model Distillation. - Tejas Nareddy, Abhishek Mishra:
Recovery Reductions in the Random Noise Model via Group Theory: Insights into NP-Complete and Fine-Grained Problems. - Haochen Wang, Yucheng Zhao, Tiancai Wang, Haoqiang Fan, Xiangyu Zhang, Zhaoxiang Zhang:
Ross3D: Reconstructive Visual Instruction Tuning with 3D-Awareness. - Célia Nouri, Jean-Philippe Cointet, Chloé Clavel:
Graphically Speaking: Unmasking Abuse in Social Media with Conversation Insights. - Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Jieru Mei, Brian R. Bartoldson, Bhavya Kailkhura, Cihang Xie:
STAR-1: Safer Alignment of Reasoning LLMs with 1K Data. - Furkan Çolhak, Hasan Coskun, Tsafac Nkombong Regine Cyrille, Tedi Hoxa, Mert Ilhan Ecevit, Mehmet Nafiz Aydin:
Accelerating IoV Intrusion Detection: Benchmarking GPU-Accelerated vs CPU-Based ML Libraries. - Mona Zavichi, André Santos, Catarina Moreira, Anderson Maciel, Joaquim Jorge:
Gaze-Hand Steering for Travel and Multitasking in Virtual Environments. - Anwar Ghammam, Dhia Elhaq Rzig, Mohamed Almukhtar, Rania Khalsi, Foyzul Hassan, Marouane Kessentini:
Build Code Needs Maintenance Too: A Study on Refactoring and Technical Debt in Build Systems. - Andrey Sidorenko, Michael Platzer, Mario Scriminaci, Paul Tiwald:
Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework. - Yinggan Xu, Hana Kimlee, Yijia Xiao, Di Luo:
Advancing AI-Scientist Understanding: Making LLM Think Like a Physicist with Interpretable Reasoning. - Xingyu Ni, Jingrui Xing, Xingqiao Li, Bin Wang, Baoquan Chen:
Representing Flow Fields with Divergence-Free Kernels for Reconstruction. - Lisa Coiffard, Paul Templier, Antoine Cully:
Overcoming Deceptiveness in Fitness Optimization with Unsupervised Quality-Diversity. - Mothilal Asokan, Kebin Wu, Fatima Albreiki:
FineLIP: Extending CLIP's Reach via Fine-Grained Alignment with Longer Text Inputs. - Chinonyerem Eleweke, Kazeem Oluwakemi Oseni:
Applying software engineering solutions to law management, Nigeria as a case study. - Baban Gain, Dibyanayan Bandyopadhyay, Asif Ekbal:
Bridging the Linguistic Divide: A Survey on Leveraging Large Language Models for Machine Translation. - Harsh Vardhan, Xiaofan Yu, Tajana Rosing, Arya Mazumdar:
Client Selection in Federated Learning with Data Heterogeneity and Network Latencies. - Zhaoyang Cao, John Nguyen, Reza Zafarani:
Is Less Really More? Fake News Detection with Limited Information. - Andreas Panayiotou, Panayiotis Charalambous, Ioannis Karamouzas:
Gen-C: Populating Virtual Worlds with Generative Crowds. - Haykel Snoussi, Davood Karimi:
Equivariant Spherical CNNs for Accurate Fiber Orientation Distribution Estimation in Neonatal Diffusion MRI with Reduced Acquisition Time. - Boshi Wang, Huan Sun:
Is the Reversal Curse a Binding Problem? Uncovering Limitations of Transformers from a Basic Generalization Failure. - Sahan Liyanaarachchi, Ismail Cosandal, Sennur Ulukus:
Source Coding for a Wiener Process. - Washington Cunha, Leonardo Rocha, Marcos André Gonçalves:
A thorough benchmark of automatic text classification: From traditional approaches to large language models. - Souradip Chakraborty, Mohammadreza Pourreza, Ruoxi Sun, Yiwen Song, Nino Scherrer, Furong Huang, Amrit Singh Bedi, Ahmad Beirami, Jindong Gu, Hamid Palangi, Tomas Pfister:
Review, Refine, Repeat: Understanding Iterative Decoding of AI Agents with Dynamic Evaluation and Selection. - Tahmid Hasan Prato, Seijoon Kim, Lizhong Chen, Sanghyun Hong:
Hessian-aware Training for Enhancing DNNs Resilience to Parameter Corruptions. - Runhui Huang, Chunwei Wang, Junwei Yang, Guansong Lu, Yunlong Yuan, Jianhua Han, Lu Hou, Wei Zhang, Lanqing Hong, Hengshuang Zhao, Hang Xu:
ILLUME+: Illuminating Unified MLLM with Dual Visual Tokenization and Diffusion Refinement. - Celine Lee, Alexander M. Rush, Keyon Vafa:
Critical Thinking: Which Kinds of Complexity Govern Optimal Reasoning Length? - Yinuo Ren, Grant M. Rotskoff, Lexing Ying:
A Unified Approach to Analysis and Design of Denoising Markov Models. - Juan Bravo-Arrabal, Ricardo Vázquez Martín, Juan Jesús Fernández Lozano, Alfonso García-Cerezo:
Strengthening Multi-Robot Systems for SAR: Co-Designing Robotics and Communication Towards 6G. - Yingyan Li, Yuqi Wang, Yang Liu, Jiawei He, Lue Fan, Zhaoxiang Zhang:
End-to-End Driving with Online Trajectory Evaluation via BEV World Model. - Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, Aleksander Ficek, Siddhartha Jain, Jocelyn Huang, Vahid Noroozi, Boris Ginsburg:
OpenCodeReasoning: Advancing Data Distillation for Competitive Coding. - Teresa Lübeck, Philipp Meyer, Timo Häckel, Franz Korf, Thomas C. Schmidt:
Asynchronous Traffic Shaping and Redundancy: Avoiding Unbounded Latencies in In-Car Networks. - Daniel Becking, Ingo Friese, Karsten Müller, Thomas Buchholz, Mandy Galkow-Schneider, Wojciech Samek, Detlev Marpe:
Efficient Federated Learning Tiny Language Models for Mobile Network Feature Prediction. - Manos Frouzakis, Juan Gómez-Luna, Geraldo F. Oliveira, Mohammad Sadrosadati, Onur Mutlu:
PIMDAL: Mitigating the Memory Bottleneck in Data Analytics using a Real Processing-in-Memory System. - Massimiliano Luca, Ciro Beneduce, Bruno Lepri, Jacopo Staiano:
The LLM Wears Prada: Analysing Gender Bias and Stereotypes through Online Shopping Data. - Wenxuan Wang, Zijia Zhao, Yisi Zhang, Yepeng Tang, Erdong Hu, Xinlong Wang, Jing Liu:
Image Difference Grounding with Natural Language. - Jing Liu, Wenxuan Wang, Yisi Zhang, Yepeng Tang, Xingjian He, Longteng Guo, Tongtian Yue, Xinlong Wang:
Towards Unified Referring Expression Segmentation Across Omni-Level Visual Target Granularities. - Oliver Hahn, Christoph Reich, Nikita Araslanov, Daniel Cremers, Christian Rupprecht, Stefan Roth:
Scene-Centric Unsupervised Panoptic Segmentation. - Hanyang Wang, Fangfu Liu, Jiawei Chi, Yueqi Duan:
VideoScene: Distilling Video Diffusion Model to Generate 3D Scenes in One Step. - Shu-Wei Lu, Yi-Hsuan Tsai, Yi-Ting Chen:
Toward Real-world BEV Perception: Depth Uncertainty Estimation via Gaussian Splatting. - Dandan Shan, Kaichun Mo, Wei Yang, Yu-Wei Chao, David Fouhey, Dieter Fox, Arsalan Mousavian:
Slot-Level Robotic Placement via Visual Imitation from Single Human Video. - Niluthpol Chowdhury Mithun, Tuan Pham, Qiao Wang, Ben Southall, Kshitij Minhas, Bogdan Matei, Stephan Mandt, Supun Samarasekera, Rakesh Kumar:
Diffusion-Guided Gaussian Splatting for Large-Scale Unconstrained 3D Reconstruction and Novel View Synthesis. - Tengda Han, Dilara Gokay, Joseph Heyward, Chuhan Zhang, Daniel Zoran, Viorica Patraucean, João Carreira, Dima Damen, Andrew Zisserman:
Learning from Streaming Video with Orthogonal Gradients. - Chia-Tung Ho, Jing Gong, Yunsheng Bai, Chenhui Deng, Haoxing Ren, Brucek Khailany:
Marco: Configurable Graph-Based Task Solving and Multi-AI Agents Framework for Hardware Design. - R. M. Aratchige, W. M. K. S. Ilmini:
LLMs Working in Harmony: A Survey on the Technological Aspects of Building Effective LLM-Based Multi Agent Systems. - Umberto Laghi, Simone Manoni, Emanuele Parisi, Andrea Bartolini:
Efficient Trace for RISC-V: Design, Evaluation, and Integration in CVA6. - Ziang Yan, Xingyu Zhao, Hanqing Ma, Wei Chen, Jianpeng Qi, Yanwei Yu, Junyu Dong:
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data. - Ludvig Ericson, José Pedro, Patric Jensfelt:
Information Gain Is Not All You Need. - Kaiyuan Yang, Huang Ouyang, Xinyi Wang, Bingjie Lu, Yanbo Wang, Charith Abhayaratne, Sizhao Li, Long Jin, Tiantai Deng:
NLS: Natural-Level Synthesis for Hardware Implementation Through GenAI. - W. Brian Lane:
Divine Social Networking in the Age of Lost Omens. - Amitabh Sharma, Saksham Gupta, Shivansh Pratap Singh, Rishabh Dev Yadav, Hongyu Song, Wei Pan, Spandan Roy, Simone Baldi:
Impedance and Stability Targeted Adaptation for Aerial Manipulator with Unknown Coupling Dynamics. - Bo Zhang, Xiubo Liang, Wei Song, Yulu Chen:
Multi-Dimensional AGV Path Planning in 3D Warehouses Using Ant Colony Optimization and Advanced Neural Networks. - Dario Garcia-Gasulla, Gokcen Kestor, Emanuele Parisi, Miquel Albert'i-Binimelis, Cristian Gutierrez, Razine Moundir Ghorab, Orlando Montenegro, Bernat Homs, Miquel Moretó:
TuRTLe: A Unified Evaluation of LLMs for RTL Generation. - Ilir Tahiraj, Markus Edinger, Dominik Kulmer, Markus Lienkamp:
CaLiV: LiDAR-to-Vehicle Calibration of Arbitrary Sensor Setups via Object Reconstruction. - Suman Raj, Bhavani A Madhabhavi, Madhav Kumar, Prabhav Gupta, Yogesh Simmhan:
Distance Estimation to Support Assistive Drones for the Visually Impaired using Robust Calibration. - Yi Yao, Miao Fan, Shengtong Xu, Haoyi Xiong, Xiangzeng Liu, Wenbo Hu, Wenbing Huang:
A Concise Survey on Lane Topology Reasoning for HD Mapping. - Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu:
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. - Ergon Cugler de Moraes Silva, Arthur Ataide Ferreira Garcia, Guilherme de Almeida, Julie Ricard:
Disinformation about autism in Latin America and the Caribbean: Mapping 150 false causes and 150 false cures of ASD in conspiracy theory communities on Telegram. - Carlos J. Costa, Joao Tiago Aparicio:
Exploring the Societal and Economic Impacts of Artificial Intelligence: A Scenario Generation Methodology. - Jinendra Malekar, Peyton Chandarana, Md Hasibul Amin, Mohammed E. Elbtity, Ramtin Zand:
PIM-LLM: A High-Throughput Hybrid PIM Architecture for 1-bit LLMs. - Hamed Mahdavi, Alireza Hashemi, Majid Daliri, Pegah Mohammadipour, Alireza Farhadi, Samira Malek, Yekta Yazdanifard, Amir Khasahmadi, Vasant G. Honavar:
Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad Mathematics. - Khizar Anjum, Parul Pandey, Vidyasagar Sadhu, Roberto Tron, Dario Pompili:
Real-Time Navigation for Autonomous Aerial Vehicles Using Video. - Yuchen Zhang, Miao Fan, Shengtong Xu, Xiangzeng Liu, Haoyi Xiong:
Semantic SLAM with Rolling-Shutter Cameras and Low-Precision INS in Outdoor Environments. - Vikram Kulothungan, Priya Ranjani Mohan, Deepti Gupta:
AI Regulation and Capitalist Growth: Balancing Innovation, Ethics, and Global Governance. - Mingshuai Yao, Mengting Chen, Qinye Zhou, Yabo Zhang, Ming Liu, Xiaoming Li, Shaohui Liu, Chen Ju, Shuai Xiao, Qingwen Liu, Jinsong Lan, Wangmeng Zuo:
Beyond Static Scenes: Camera-controllable Background Generation for Human Motion. - Ioannis Faros, Herbert G. Tanner:
System Identification and Adaptive Input Estimation on the Jaiabot Micro Autonomous Underwater Vehicle. - Zhonghang Li, Lianghao Xia, Xubin Ren, Jiabin Tang, Tianyi Chen, Yong Xu, Chao Huang:
Urban Computing in the Era of Large Language Models. - Nan Zhang, Yusen Zhang, Prasenjit Mitra, Rui Zhang:
When Reasoning Meets Compression: Benchmarking Compressed Large Reasoning Models on Complex Reasoning Tasks. - Dohyun Kim, Sehwan Park, Geonhee Han, Seung Wook Kim, Paul Hongsuck Seo:
Random Conditioning with Distillation for Data-Efficient Diffusion Model Compression. - Bedionita Soro, Bruno Andreis, Song Chong, Sung Ju Hwang:
Instruction-Guided Autoregressive Neural Network Parameter Generation. - Sijie Xiong, Shuqing Liu, Cheng Tang, Fumiya Okubo, Haoling Xiong, Atsushi Shimada:
Attention Mamba: Time Series Modeling with Adaptive Pooling Acceleration and Receptive Field Enhancements. - Gabriele Greco, Carlo Cena, Umberto Albertin, Mauro Martini, Marcello Chiaberge:
Fault injection analysis of Real NVP normalising flow model for satellite anomaly detection. - Zechen Liu, Feiyang Zhang, Wei Song, Xiang Li, Wei Wei:
Fourier Feature Attribution: A New Efficiency Attribution Method. - Li Xin-Ye, Du Ya-Li, Li Ming:
Enhancing LLMs in Long Code Translation through Instrumentation and Program State Alignment. - Jan Hula, David Mojzísek, Jirí Janecek, David Herel, Mikolás Janota:
Geometric Reasoning in the Embedding Space. - Patrick Kolpaczki, Tim Nielen, Eyke Hüllermeier:
Antithetic Sampling for Top-k Shapley Identification. - Zhaoyang Zhang, Yannick Hold-Geoffroy, Milos Hasan, Ziwen Chen, Fujun Luan, Julie Dorsey, Yiwei Hu:
WorldPrompter: Traversable Text-to-Scene Generation. - Alfonso Amayuelas, Jingbo Yang, Saaket Agashe, Ashwin Nagarajan, Antonis Antoniades, Xin Eric Wang, William Wang:
Self-Resource Allocation in Multi-Agent LLM Systems. - Yuetian Mao, Junjie He, Chunyang Chen:
From Prompts to Templates: A Systematic Prompt Template Analysis for Real-world LLMapps. - Chen Shen, Jin Wang, Sajjadur Rahman, Eser Kandogan:
MageSQL: Enhancing In-context Learning for Text-to-SQL Applications with Large Language Models. - Seyyed Reza Jafari, Anders Hansson, Bo Wahlberg:
Path planning with moving obstacles using stochastic optimal control. - Andy Williams:
Epistemic Closure and the Irreversibility of Misalignment: Modeling Systemic Barriers to Alignment Innovation. - Jin Wang, Yanlin Feng, Chen Shen, Sajjadur Rahman, Eser Kandogan:
Towards Operationalizing Heterogeneous Data Discovery. - Minh-Quan Ho-Le, Duy-Khang Ho, Van-Tu Ninh, Cathal Gurrin, Minh-Triet Tran:
LSC-ADL: An Activity of Daily Living (ADL)-Annotated Lifelog Dataset Generated via Semi-Automatic Clustering. - Yuxin Guo, Shuailei Ma, Shijie Ma, Xiaoyi Bao, Chen-Wei Xie, Kecheng Zheng, Tingyu Weng, Siyang Sun, Yun Zheng, Wei Zou:
Aligned Better, Listen Better for Audio-Visual Large Language Models. - Fabio Yáñez-Romero, Andrés Montoyo, Armando Suárez, Yoan Gutiérrez, Ruslan Mitkov:
From Text to Graph: Leveraging Graph Neural Networks for Enhanced Explainability in NLP. - Mete Kemertas, Amir-massoud Farahmand, Allan D. Jepson:
A Truncated Newton Method for Optimal Transport. - Utsav Banerjee:
Privacy-Preserving Edge Computing from Pairing-Based Inner Product Functional Encryption. - Zhiyuan Zhang, Yuxin He, Yong Sun, Junyu Shi, Lijiang Liu, Qiang Nie:
RoboAct-CLIP: Video-Driven Pre-training of Atomic Action Understanding for Robotics. - Sijing Liu, Jinjin Zhang:
A balancing domain decomposition by constraints preconditioner for a hybridizable discontinuous Galerkin discretization of an elliptic optimal control problem. - Jiqun Liu, Jamshed Karimnazarov, Ryen W. White:
Trapped by Expectations: Functional Fixedness in LLM-Enabled Chat Search. - Zhengchun Shang, Wenlan Wei:
Evolving Security in LLMs: A Study of Jailbreak Attacks and Defenses. - Ido Cohen:
Measuring the Data. - Nick Chodura, Melissa Greeff, Joshua Woods:
Evaluation of Flight Parameters in UAV-based 3D Reconstruction for Rooftop Infrastructure Assessment. - Sven Ochs, Marc Heinrich, Philip Schörner, Marc René Zofka, J. Marius Zöllner:
A Chefs KISS - Utilizing semantic information in both ICP and SLAM framework. - Collin Leiber, Lukas Miklautz, Claudia Plant, Christian Böhm:
An Introductory Survey to Autoencoder-based Deep Clustering - Sandboxes for Combining Clustering with Deep Learning. - Yichen Yao, Ryan Mbagna Nanko, Yue Wang, Xuan Wang:
Distributed Resource Allocation for Human-Autonomy Teaming under Coupled Constraints. - Joseph Heffner, Chongyu Qin, Martin J. Chadwick, Chris Knutsen, Christopher Summerfield, Zeb Kurth-Nelson, Robb B. Rutledge:
Increasing happiness through conversations with artificial intelligence. - Diana Wallison, Jessica Wert, Farnaz Safdarian, Komal S. Shetye, Thomas J. Overbye, Jonathan Snodgrass, Yanzhi Xu:
An Integrated Transportation Network and Power Grid Simulation Approach for Assessing Environmental Impact of Electric Vehicles. - Chenyang Yu, Xinpeng Xie, Yan Huang, Chenxi Qiu:
FlowDistill: Scalable Traffic Flow Prediction via Distillation from LLMs. - Boris Alexeev, Colin Percival, Yan X. Zhang:
Chunking Attacks on File Backup Services using Content-Defined Chunking. - Peter Ashwood-Smith, Bill McCormick:
Orthodromic Routing and Forwarding for Large Satellite Constellations. - Xiao Wang, Daniil Larionov, Siwei Wu, Yiqi Liu, Steffen Eger, Nafise Sadat Moosavi, Chenghua Lin:
ContrastScore: Towards Higher Quality, Less Biased, More Efficient Evaluation Metrics with Contrastive Evaluation. - Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri:
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. - Carolina Carreira, Alexandra Mendes, João F. Ferreira, Nicolas Christin:
A Systematic Review of Security Communication Strategies: Guidelines and Open Challenges. - Mingyuan Zhong, Ruolin Chen, Xia Chen, James Fogarty, Jacob O. Wobbrock:
ScreenAudit: Detecting Screen Reader Accessibility Errors in Mobile Apps Using Large Language Models. - Giannis Chatziveroglou, Richard Yun, Maura Kelleher:
Exploring LLM Reasoning Through Controlled Prompt Variations. - Renjie Liu, Haitian Jiang, Xiao Yan, Bo Tang, Jinyang Li:
PolyG: Effective and Efficient GraphRAG with Adaptive Graph Traversal. - Dipankar Maity, Kushal Chakrabarti:
On Model Protection in Federated Learning against Eavesdropping Attacks. - Xiulin Yang:
Language Models at the Syntax-Semantics Interface: A Case Study of the Long-Distance Binding of Chinese Reflexive ziji. - Christian Engwer, Alexander Schell, Nils-Arne Dreier:
Vectorised Parallel in Time methods for low-order discretizations with application to Porous Media problems. - Mahsa Ardakani, Jinendra Malekar, Ramtin Zand:
LLMPi: Optimizing LLMs for High-Throughput on Raspberry Pi. - Wang Wei, Tiankai Yang, Hongjie Chen, Ryan A. Rossi, Yue Zhao, Franck Dernoncourt, Hoda Eldardiry:
Efficient Model Selection for Time Series Forecasting via LLMs. - Romain Dagnas, Michel Barbeau, Joaquín García, Reda Yaich:
Graph Analytics for Cyber-Physical System Resilience Quantification. - Jonas F. Lotz, Hendra Setiawan, Stephan Peitz, Yova Kementchedjhieva:
Overcoming Vocabulary Constraints with Pixel-level Fallback. - Georgios Hadjiantonis, Sarah Gillet, Marynel Vázquez, Iolanda Leite, Fethiye Irmak Dogan:
Let's move on: Topic Change in Robot-Facilitated Group Discussions. - Carolina Carreira, João F. Ferreira, Alexandra Mendes, Nicolas Christin:
Are Users More Willing to Use Formally Verified Password Managers? - Nicholas Stetler:
Reinsuring AI: Energy, Agriculture, Finance & Medicine as Precedents for Scalable Governance of Frontier Artificial Intelligence. - Apurba Pokharel, Ram Dantu, Shakila Zaman, Sirisha Talapuru, Vinh Quach:
Achieving Unanimous Consensus in Decision Making Using Multi-Agents. - Dhananjay Tiwari, Salar Basiri, Srinivasa M. Salapaka:
Towards Enabling Learning for Time-Varying finite horizon Sequential Decision-Making Problems. - Jincheng Mei, Bo Dai, Alekh Agarwal, Mohammad Ghavamzadeh, Csaba Szepesvári, Dale Schuurmans:
Ordering-based Conditions for Global Convergence of Policy Gradient Methods. - Ezzeldin Shereen, Dan Ristea, Burak Hasircioglu, Shae McFadden, Vasilios Mavroudis, Chris Hicks:
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image. - Sourav Purification, Simeon Wuthier, Jinoh Kim, Ikkyun Kim, Sang-Yoon Chang:
Base Station Certificate and Multi-Factor Authentication for Cellular Radio Control Communication Security. - Carolina Zheng, Minhui Huang, Dmitrii Pedchenko, Kaushik Rangadurai, Siyu Wang, Gaby Nahum, Jie Lei, Yang Yang, Tao Liu, Zutian Luo, Xiaohan Wei, Dinesh Ramasamy, Jiyan Yang, Yiping Han, Lin Yang, Hangjun Xu, Rong Jin, Shuang Yang:
Enhancing Embedding Representation Stability in Recommendation Systems with Semantic ID. - Ali Nouri, Johan Andersson, Kailash De Jesus Hornig, Zhennan Fei, Emil Knabe, Håkan Sivencrona, Beatriz Cabrero Daniel, Christian Berger:
On Simulation-Guided LLM-based Code Generation for Safe Autonomous Driving Software. - Michael-Andrei Panaitescu-Liess, Yigitcan Kaya, Sicheng Zhu, Furong Huang, Tudor Dumitras:
Like Oil and Water: Group Robustness Methods and Poisoning Defenses May Be at Odds. - Oam Patel, Jason Wang, Nikhil Shivakumar Nayak, Suraj Srinivas, Himabindu Lakkaraju:
Towards Interpretable Soft Prompts. - Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Yuhan Wang, Imran Razzak, Shoaib Jameel:
LL4G: Self-Supervised Dynamic Optimization for Graph-Based Personality Detection. - Zhen Zhang, Muhammad Umar B. Niazi, Michelle S. Chong, Karl Henrik Johansson, Amr Al-Anwar:
Data-Driven Nonconvex Reachability Analysis using Exact Multiplication. - Heming Zhang, Tim Xu, Dekang Cao, Shunning Liang, Lars Schimmelpfennig, Levi Kaster, Di Huang, Carlos Cruchaga, Guangfu Li, Michael A. Province, Yixin Chen, Philip Payne, Fuhai Li:
OmniCellTOSG: The First Cell Text-Omic Signaling Graphs Dataset for Joint LLM and GNN Modeling. - Shijing He, Xiao Zhan, Yaxiong Lei, Yueyan Liu, Ruba Abu-Salma, Jose Such:
Exploring the Privacy and Security Challenges Faced by Migrant Domestic Workers in Chinese Smart Homes. - Yihao Hu, Jin Wang, Sajjadur Rahman:
LakeVisage: Towards Scalable, Flexible and Interactive Visualization Recommendation for Data Discovery over Data Lakes. - Jiztom Kavalakkatt Francis, Matthew J. Darr:
Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP. - Nathan TeBlunthuis:
Niche Dynamics in Complex Online Community Ecosystems. - Chao Huang, Susan Liang, Yunlong Tang, Li Ma, Yapeng Tian, Chenliang Xu:
FreSca: Unveiling the Scaling Space in Diffusion Models. - Jaehoon Choi, Dongki Jung, Yonghan Lee, Sungmin Eum, Dinesh Manocha, Heesung Kwon:
UAVTwin: Neural Digital Twins for UAVs using Gaussian Splatting. - Shaojin Wu, Mengqi Huang, Wenxu Wu, Yufeng Cheng, Fei Ding, Qian He:
Less-to-More Generalization: Unlocking More Controllability by In-Context Generation. - Zhen Meng, Kan Chen, Xiangmin Xu, Erwin Jose Lopez Pulgarin, Emma Li, Guodong Zhao, David Flynn:
Preference-Driven Active 3D Scene Representation for Robotic Inspection in Nuclear Decommissioning. - Manzoor Ahmed, Aized Amin Soofi, Feroz Khan, Salman Raza, Wali Ullah Khan, Lina Su, Fang Xu, Zhu Han:
Toward a Sustainable Low-Altitude Economy: A Survey of Energy-Efficient RIS-UAV Networks. - Lewis Matheson Creed:
Neural Style Transfer for Synthesising a Dataset of Ancient Egyptian Hieroglyphs. - Ahmadreza Tavasoli, Maedeh Sharbaf, Seyed Mohamad Madani:
Responsible Innovation: A Strategic Framework for Financial LLM Integration. - Xinglong Sun, Barath Lakshmanan, Maying Shen, Shiyi Lan, Jingde Chen, José M. Álvarez:
MDP: Multidimensional Vision Model Pruning with Latency Constraint. - Reza Sameni:
On the Geometry of Receiver Operating Characteristic and Precision-Recall Curves. - Eve Fernando, Sasha Rubin, Rahul Gopinath:
Example-Free Learning of Regular Languages with Prefix Queries. - Shu-Wei Huang, Xingfang Wu, Heng Li:
LogLSHD: Fast Log Parsing with Locality-Sensitive Hashing and Dynamic Time Warping. - Rushi Jayeshkumar Babaria, Minzhao Lyu, Gustavo Batista, Vijay Sivaraman:
FastFlow: Early Yet Robust Network Flow Classification using the Minimal Number of Time-Series Packets. - Walid Magdy, Hamdy Mubarak, Joni Salminen:
Who Should Set the Standards? Analysing Censored Arabic Content on Facebook during the Palestine-Israel Conflict. - Abdulmalik Alluhidan, Jinkyung Katie Park, Mamtaj Akter, Rachel Rodgers, Afsaneh Razi, Pamela J. Wisniewski:
Unfiltered: How Teens Engage in Body Image and Shaming Discussions via Instagram Direct Messages (DMs). - Jacob Schrum, Cody Crosby:
A Quality Diversity Approach to Evolving Model Rockets. - Shanilka Haturusinghe, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, S. R. Liyanage:
Subasa - Adapting Language Models for Low-resourced Offensive Language Detection in Sinhala. - Pei-Chi Chen, Yi Yao, Chan-Feng Hsu, Hong-Xia Xie, Hung-Jen Chen, Hong-Han Shuai, Wen-Huang Cheng:
Foreground Focus: Enhancing Coherence and Fidelity in Camouflaged Image Generation. - Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li:
A Survey of Scaling in Large Language Model Reasoning. - Ruochen Hou, Gabriel I. Fernandez, Mingzhang Zhu, Dennis W. Hong:
Model Predictive Control with Visibility Graphs for Humanoid Path Planning and Tracking Against Adversarial Opponents. - Benyamin Ghaseminia, Mohammad R. Salavatipour:
A PTAS for Travelling Salesman Problem with Neighbourhoods Over Parallel Line Segments of Similar Length. - Shivesh Prakash, Hans-Arno Jacobsen, Viki Kumar Prasad:
A User-Tunable Machine Learning Framework for Step-Wise Synthesis Planning. - Yifan Wang, Runjin Chen, Bolian Li, David Cho, Yihe Deng, Ruqi Zhang, Tianlong Chen, Zhangyang Wang, Ananth Grama, Junyuan Hong:
More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment. - Dakai Kang, Junchao Chen, Tien Tuan Anh Dinh, Mohammad Sadoghi:
FairDAG: Consensus Fairness over Concurrent Causal Design. - Hiroki Kanezashi, Toyotaro Suzumura, Cade Reid, Md. Mostafizur Rahman, Yu Hirate:
LLM-Augmented Graph Neural Recommenders: Integrating User Reviews. - Erin McGowan, João Rulff, Sonia Castelo, Guande Wu, Shaoyu Chen, Roque Lopez, Bea Steers, Irán R. Román, Fábio Felix Dias, Jing Qian, Parikshit Solunke, Michael Middleton, Ryan McKendrick, Cláudio T. Silva:
Design and Implementation of the Transparent, Interpretable, and Multimodal (TIM) AR Personal Assistant. - Anant A. Joshi, Amirhossein Taghvaei, Prashant G. Mehta:
Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control. - Tae-Young Lee, Sundong Park, Minwoo Jeon, Hyoseok Hwang, Gyeong-Moon Park:
ESC: Erasing Space Concept for Knowledge Deletion. - Md. Naimul Hoque, Zinat Ara, Safwat Ali Khan, Fanny Chevalier, Niklas Elmqvist:
Characterizing Creativity in Visualization Design. - Huangliang Dai, Shixun Wu, Hairui Zhao, Jiajun Huang, Zizhe Jian, Yue Zhu, Haiyang Hu, Zizhong Chen:
FT-Transformer: Resilient and Reliable Transformer with End-to-End Fault Tolerant Attention. - Shourya Goel, Himanshi Tibrewal, Anant Jain, Anshul Pundhir, Pravendra Singh:
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism. - Hyunho Lee, Wenwen Li:
Geospatial Artificial Intelligence for Satellite-based Flood Extent Mapping: Concepts, Advances, and Future Perspectives. - Matheus Valentim, Vaishali Dhanoa, Gabriela Molina León, Niklas Elmqvist:
The Plot Thickens: Quantitative Part-by-Part Exploration of MLLM Visualization Literacy. - Hélène Mayer, James Richards:
Comparative Analysis of Distributed Caching Algorithms: Performance Metrics and Implementation Considerations. - Gregory R. Galperin:
Learning and Improving Backgammon Strategy. - Wenrui Hao, Lili Ju, Yuejin Xu:
Error analysis of the diffuse domain finite element method for second order parabolic equations. - Hao Li, Hao Fei, Zechao Hu, Zhengwei Yang, Zheng Wang:
VEGAS: Towards Visually Explainable and Grounded Artificial Social Intelligence. - Liying Zhang, Xinyue Kang, Lihai Ji:
Stochastic positivity-preserving symplectic splitting methods for stochastic Lotka-Volterra predator-prey model. - Zhipu Cui, Andong Tian, Zhi Ying, Jialiang Lu:
AC-LoRA: Auto Component LoRA for Personalized Artistic Style Image Generation. - Jacy Reese Anthis, Ryan Liu, Sean M. Richardson, Austin C. Kozlowski, Bernard Koch, James A. Evans, Erik Brynjolfsson, Michael S. Bernstein:
LLM Social Simulations Are a Promising Research Method. - Ricardo Fitas:
The Author Is Sovereign: A Manifesto for Ethical Copyright in the Age of AI. - Xu Cao, Pranav Virupaksha, Wenqi Jia, Bolin Lai, Fiona Ryan, Sangmin Lee, James M. Rehg:
SocialGesture: Delving into Multi-person Gesture Understanding. - Yiyuan Cao, Jiayi Zhuang, Houjin Chen, Jinkai Fan, Wenbo Xu, Zhiyi Wang, Di Wang, Qinxiang Cao, Yingfei Xiong, Haiyan Zhao, Zhenjiang Hu:
C*: Unifying Programming and Verification in C. - Songran Bai, Xiaolong Zheng, Daniel Dajun Zeng:
CRC-SGAD: Conformal Risk Control for Supervised Graph Anomaly Detection. - Sungwoo Kang:
Stock Price Prediction Using Triple Barrier Labeling and Raw OHLCV Data: Evidence from Korean Markets. - Wasura D. Wattearachchi, Erandi Lakshika, Kathryn Kasmarik, Michael Barlow:
Designing Effective Human-Swarm Interaction Interfaces: Insights from a User Study on Task Performance. - Bongsoo Yi, Yue Kang, Yao Li:
Quantum Lipschitz Bandits. - JB Lanier, Kyungmin Kim, Armin Karamzade, Yifei Liu, Ankita Sinha, Kat He, Davide Corsi, Roy Fox:
Adapting World Models with Latent-State Dynamics Residuals. - Seunghyun Yoo:
LLMs as Deceptive Agents: How Role-Based Prompting Induces Semantic Ambiguity in Puzzle Tasks. - Yapeng Shi, Sishu Li, Yongqiang Wu, Junjie Liu, Xiaokun Leng, Xizhe Zang, Songhao Piao:
Bipedal Robust Walking on Uneven Footholds: Piecewise Slope LIPM with Discrete Model Predictive Control. - Jinhui Ye, Zihan Wang, Haosen Sun, Keshigeyan Chandrasegaran, Zane Durante, Cristobal Eyzaguirre, Yonatan Bisk, Juan Carlos Niebles, Ehsan Adeli, Li Fei-Fei, Jiajun Wu, Manling Li:
Re-thinking Temporal Search for Long-Form Video Understanding. - Deepak Akhare, Pan Du, Tengfei Luo, Jian-Xun Wang:
Implicit Neural Differential Model for Spatiotemporal Dynamics. - Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Weijie Wang, Haoyun Li, Guosheng Zhao, Jie Li, Wenkang Qin, Guan Huang, Wenjun Mei:
WonderTurbo: Generating Interactive 3D World in 0.72 Seconds. - Ruidong Zhu, Ziheng Jiang, Chao Jin, Peng Wu, Cesar A. Stuardo, Dongyang Wang, Xinlei Zhang, Huaping Zhou, Haoran Wei, Yang Cheng, Jianzhe Xiao, Xinyi Zhang, Lingjun Liu, Haibin Lin, Li-Wen Chang, Jianxi Ye, Xiao Yu, Xuanzhe Liu, Xin Jin, Xin Liu:
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism. - Wenzhuo Liu, Wenshuo Wang, Yicheng Qiao, Qiannan Guo, Jiayin Zhu, Pengfei Li, Zilong Chen, Huiming Yang, Zhiwei Li, Lening Wang, Tiao Tan, Huaping Liu:
MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception. - Waris Gill, Justin Cechmanek, Tyler Hutcherson, Srijith Rajamohan, Jen Agarwal, Muhammad Ali Gulzar, Manvinder Singh, Benoit Dion:
Advancing Semantic Caching for LLMs with Domain-Specific Embeddings and Synthetic Data. - Jay Lee, Hanqi Su, Dai-Yan Ji, Takanobu Minami:
Engineering Artificial Intelligence: Framework, Challenges, and Future Direction. - Samuel Sze, Daniele De Martini, Lars Kunze:
MinkOcc: Towards real-time label-efficient semantic occupancy prediction. - Haozhe Yin, Kai Wang, Wenjie Zhang, Ying Zhang, Ruijia Wu, Xuemin Lin:
Efficient Computation of Hyper-triangles on Hypergraphs. - Shaocong Long, Qianyu Zhou, Xiangtai Li, Chenhao Ying, Yunhai Tong, Lizhuang Ma, Yuan Luo, Dacheng Tao:
Generative Classifier for Domain Generalization. - Hung Le, Dai Do, Dung Nguyen, Svetha Venkatesh:
Reasoning Under 1 Billion: Memory-Augmented Reinforcement Learning for Large Language Models. - Menghao Huo, Kuan Lu, Qiang Zhu, Zhenrui Chen:
Enhancing Customer Contact Efficiency with Graph Neural Networks in Credit Card Fraud Detection Workflow. - Amit Rand, Hadi Ibrahim:
Beyond Conventional Transformers: The Medical X-ray Attention (MXA) Block for Improved Multi-Label Diagnosis Using Knowledge Distillation. - Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, Ichiro Ide:
MultiTSF: Transformer-based Sensor Fusion for Human-Centric Multi-view and Multi-modal Action Recognition. - YiMing Yu, Jason Zutty:
LLM-Guided Evolution: An Autonomous Model Optimization for Object Detection. - Keyi Wang, Kairong Xiao, Xiao-Yang Liu Yanglet:
Parallel Market Environments for FinRL Contests. - Le Minh Long Nguyen, Edric Ong, Matthew Eng, Yuhao Zhang, Hiu Yung Wong:
Ga2O3 TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network. - Bingchen Qian, Yuexiang Xie, Yaliang Li, Bolin Ding, Jingren Zhou:
Tree-based Models for Vertical Federated Learning: A Survey. - Xiaolong Sun, Le Wang, Sanping Zhou, Liushuai Shi, Kun Xia, Mengnan Liu, Yabing Wang, Gang Hua:
Moment Quantization for Video Temporal Grounding. - Trung Thanh Nguyen, Yasutomo Kawanishi, Vijay John, Takahiro Komamizu, Ichiro Ide:
MultiSensor-Home: A Wide-area Multi-modal Multi-view Dataset for Action Recognition and Transformer-based Sensor Fusion. - Edward DongBo Cui, Lu Zhang, William Ping-hsun Lee:
FEASE: Shallow AutoEncoding Recommender with Cold Start Handling via Side Features. - Sharif Md. Abdullah, Abhijit Paul, Shebuti Rayana, Ahmedul Kabir, Zarif Masud:
State-of-the-Art Translation of Text-to-Gloss using mBART : A case study of Bangla. - Xinyu Luo, Kecheng Chen, Pao-Sheng Vincent Sun, Chris Xing Tian, Arindam Basu, Haoliang Li:
SPACE: SPike-Aware Consistency Enhancement for Test-Time Adaptation in Spiking Neural Networks. - Jakob Maier, Laurent Massoulié:
Asymmetric graph alignment and the phase transition for asymmetric tree correlation testing. - Wupeng Wang, Zexu Pan, Xinke Li, Shuai Wang, Haizhou Li:
Causal Self-supervised Pretrained Frontend with Predictive Code for Speech Separation. - Minheng Ni, Ennan Wu, Zidong Gong, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Kevin Lin, Lijuan Wang, Wangmeng Zuo:
Measurement of LLM's Philosophies of Human Nature. - Maria R. Marulli, Jacopo Bonari, Pasqualantonio Pingue, Marco Paggi:
Solving adhesive rough contact problems with Atomic Force Microscope data. - Zidong Yu, Shuo Wang, Nan Jiang, Weiqiang Huang, Xu Han, Junliang Du:
Improving Harmful Text Detection with Joint Retrieval and External Knowledge. - Xiaoda Yang, Jiayang Xu, Kaixuan Luan, Xinyu Zhan, Hongshun Qiu, Shijun Shi, Hao Li, Shuai Yang, Li Zhang, Checheng Yu, Cewu Lu, Lixin Yang:
OmniCam: Unified Multimodal Video Generation via Camera Control. - Zhuoran Tan, Christos Anagnostopoulos, Jeremy Singer:
Distributed Temporal Graph Learning with Provenance for APT Detection in Supply Chains. - Yuan Zhou, Shilong Jin, Litao Hua, Wanjun Lv, Haoran Duan, Jungong Han:
ConsDreamer: Advancing Multi-View Consistency for Zero-Shot Text-to-3D Generation. - Ye Su, Hezhe Qiao, Di Wu, Yuwen Chen, Lin Chen:
Temporal Gaussian Copula For Clinical Multivariate Time Series Data Imputation. - Samuel Clarke, Suzannah Wistreich, Yanjie Ze, Jiajun Wu:
X-Capture: An Open-Source Portable Device for Multi-Sensory Learning. - Vugar Ismailov:
On shallow feedforward neural networks with inputs from a topological space. - Zhuoran Tan, Qiyuan Wang, Christos Anagnostopoulos, Shameem Puthiya Parambath, Jeremy Singer, Sam Temple:
Distributed Log-driven Anomaly Detection System based on Evolving Decision Making. - Clayton Cohn, Nicole Hutchins, Ashwin T. S., Gautam Biswas:
CoTAL: Human-in-the-Loop Prompt Engineering, Chain-of-Thought Reasoning, and Active Learning for Generalizable Formative Assessment Scoring. - Weibin Liao, Xin Gao, Tianyu Jia, Rihong Qiu, Yifan Zhu, Yang Lin, Xu Chu, Junfeng Zhao, Yasha Wang:
LearNAT: Learning NL2SQL with AST-guided Task Decomposition for Large Language Models. - Congpei Qiu, Yanhao Wu, Wei Ke, Xiuxiu Bai, Tong Zhang:
Refining CLIP's Spatial Awareness: A Visual-Centric Perspective. - Seif Mzoughi, Ahmed Haj Yahmed, Mohamed Elshafei, Foutse Khomh, Diego Elias Costa:
Towards Assessing Deep Learning Test Input Generators. - Boris Sukhovilov:
Determining Sphere Radius through Pairwise Distances. - Seif Mzoughi, Mohamed Elshafeia, Foutse Khomh:
Evaluating and Enhancing Segmentation Model Robustness with Metamorphic Testing. - Ming-Jia Yang, Yu-Xiao Guo, Yang Liu, Bin Zhou, Xin Tong:
LPA3D: 3D Room-Level Scene Generation from In-the-Wild Images. - Zihao Zhang, Xunkai Li, Rong-Hua Li, Bing Zhou, Zhenjun Li, Guoren Wang:
Toward General and Robust LLM-enhanced Text-attributed Graph Learning. - Hengfeng Wei, Jiang Xiao, Na Yang, Si Liu, Zijing Yin, Yuxing Chen, Anqun Pan:
Boosting End-to-End Database Isolation Checking via Mini-Transactions (Extended Version). - Masakazu Yoshimura, Junji Otsuka, Radu Berdan, Takeshi Ohashi:
SemiISP/SemiIE: Semi-Supervised Image Signal Processor and Image Enhancement Leveraging One-to-Many Mapping sRGB-to-RAW. - Yunpeng Li, Costas Courcoubetis, Antonis Dimakis:
Repositioning, Ride-matching, and Abandonment in On-demand Ride-hailing Platforms: A Mean Field Game Approach. - Artyom Gadetsky, Andrei Atanov, Yulun Jiang, Zhitong Gao, Ghazal Hosseini Mighan, Amir Zamir, Maria Brbic:
Large (Vision) Language Models are Unsupervised In-Context Learners. - Chengxi Zeng, Yuxuan Jiang, Fan Zhang, Alberto M. Gambaruto, Tilo Burghardt:
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation. - Fenghao Zhu, Xinquan Wang, Chen Zhu, Chongwen Huang:
Liquid Neural Networks: Next-Generation AI for Telecom from First Principles. - Janghyun Kim, Minseong Kweon, Jinsun Park, Ukcheol Shin:
All-day Depth Completion via Thermal-LiDAR Fusion. - Xiaolei Li, Jialun Cao, Yepang Liu, Shing-Chi Cheung, Hailong Wang:
ReuseDroid: A VLM-empowered Android UI Test Migrator Boosted by Active Feedback. - Takahiro Shirakawa, Tomoyuki Suzuki, Daichi Haraguchi:
MG-Gen: Single Image to Motion Graphics Generation with Layer Decomposition. - Haodian Wang, Long Peng, Yuejin Sun, Zengyu Wan, Yang Wang, Yang Cao:
Brightness Perceiving for Recursive Low-Light Image Enhancement. - Apurv Deepak Kulkarni, Siavash Ghiasvand:
SProBench: Stream Processing Benchmark for High Performance Computing Infrastructure. - Mark de Berg, Andrés López Martínez, Frits C. R. Spieksma:
Finding Diverse Solutions in Combinatorial Problems with a Distributive Lattice Structure. - Yutao Chen, Wei Chen:
An Efficient Reservation Protocol for Medium Access: When Tree Splitting Meets Reinforcement Learning. - Zhelin Xu, Shuhei Yamamoto, Hideo Joho:
Research Paper Recommender System by Considering Users' Information Seeking Behaviors. - Janani Venkatasubramanian, Johannes Köhler, Frank Allgöwer:
Beyond Asymptotics: Targeted exploration with finite-sample guarantees. - Abdo Abouelrous, Laurens Bliek, Adriana F. Gabor, Yaoxin Wu, Yingqian Zhang:
Reinforcement Learning for Solving the Pricing Problem in Column Generation: Applications to Vehicle Routing. - Kim Sung-Bin, Jeongsoo Choi, Puyuan Peng, Joon Son Chung, Tae-Hyun Oh, David Harwath:
VoiceCraft-Dub: Automated Video Dubbing with Neural Codec Language Models. - Nader H. Bshouty:
Sublinear Time Algorithms for Abelian Group Isomorphism and Basis Construction. - Laibin Chang, Yunke Wang, JiaXing Huang, Longxiang Deng, Bo Du, Chang Xu:
Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation. - Mattia Proietti, Alessandro Lenci:
The quasi-semantic competence of LLMs: a case study on the part-whole relation. - Boseung Jeong, Jicheol Park, Sungyeon Kim, Suha Kwak:
Learning Audio-guided Video Representation with Gated Attention for Video-Text Retrieval. - Gallil Maimon, Michael Hassid, Amit Roth, Yossi Adi:
Scaling Analysis of Interleaved Speech-Text Language Models. - Hao Yin, Shi Guo, Xu Jia, Xudong XU, Lu Zhang, Si Liu, Dong Wang, Huchuan Lu, Tianfan Xue:
EvMic: Event-based Non-contact sound recovery from effective spatial-temporal modeling. - Max Müller-Eberstein, Mike Zhang, Elisa Bassignana, Peter Brunsgaard Trolle, Rob van der Goot:
DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers. - Xiang Feng, Wentao Jiang, Zengmao Wang, Yong Luo, Pingbo Xu, Baosheng Yu, Hua Jin, Bo Du, Jing Zhang:
AnesBench: Multi-Dimensional Evaluation of LLM Reasoning in Anesthesiology. - Juan Marcelo Parra Ullauri, Xueqing Zhou, Shadi Moazzeni, Rasheed Hussain, Xenofon Vasilakos, Yulei Wu, Renjith Baby, M. M. Hassan Mahmud, Gabriele Incorvaia, Darryl Hond, Hamid Asgari, Andrea Tassi, Daniel Warren, Dimitra Simeonidou:
Lifecycle Management of Trustworthy AI Models in 6G Networks: The REASON Approach. - Xiaohui Sun, Ruitong Xiao, Jianye Mo, Bowen Wu, Qun Yu, Baoxun Wang:
F5R-TTS: Improving Flow-Matching based Text-to-Speech with Group Relative Policy Optimization. - Alexandre Misrahi, Nadezhda Chirkova, Maxime Louis, Vassilina Nikoulina:
Adapting Large Language Models for Multi-Domain Retrieval-Augmented-Generation. - Blaise Delattre, Paul Caillon, Quentin Barthélemy, Erwan Fagnou, Alexandre Allauzen:
Bridging the Theoretical Gap in Randomized Smoothing. - Peifu Liu, Huiyan Bai, Tingfa Xu, Jihui Wang, Huan Chen, Jianan Li:
Hyperspectral Remote Sensing Images Salient Object Detection: The First Benchmark Dataset and Baseline. - Lili Liang, Guanglu Sun:
Leveraging Static Relationships for Intra-Type and Inter-Type Message Passing in Video Question Answering. - Grzegorz Czechmanowski, Jan Wegrzynowski, Piotr Kicki, Krzysztof Walas:
On learning racing policies with reinforcement learning. - Morteza Davari, Phablo F. S. Moura, Hande Yaman:
Edge-weighted balanced connected partitions: Hardness and formulations. - Parsa Ghaffari, Chris Hokamp:
Narrative Studio: Visual narrative exploration using LLMs and Monte Carlo Tree Search. - Yiwei Liu, Junbo Wang, Lei Long, Xin Li, Ruiting Ma, Yuankai Wu, Xuebin Chen:
A Multi-Level Sentiment Analysis Framework for Financial Texts. - Guus Eelink, Kilian Rückschloß, Felix Weitkämper:
How Artificial Intelligence Leads to Knowledge Why: An Inquiry Inspired by Aristotle's Posterior Analytics. - Mario Kahlhofer, Matteo Golinelli, Stefan Rass:
Koney: A Cyber Deception Orchestration Framework for Kubernetes. - Aidan Tiruvan:
Robust Randomized Low-Rank Approximation with Row-Wise Outlier Detection. - Zhongjian Wang, Peng Zhang, Jinwei Qi, Guangyuan Wang Sheng Xu, Bang Zhang, Liefeng Bo:
OmniTalker: Real-Time Text-Driven Talking Head Generation with In-Context Audio-Visual Style Replication. - Zhengcong Fei, Debang Li, Di Qiu, Jiahua Wang, Yikun Dou, Rui Wang, Jingtao Xu, Mingyuan Fan, Guibin Chen, Yang Li, Yahui Zhou:
SkyReels-A2: Compose Anything in Video Diffusion Transformers. - Renwu Li, Wenjing Ke, Dong Li, Lu Tian, Emad Barsoum:
MonoGS++: Fast and Accurate Monocular RGB Gaussian SLAM. - Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan:
Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation. - Jack Sander, Giammarco Caroleo, Alessandro Albini, Perla Maiolino:
Estimating Scene Flow in Robot Surroundings with Distributed Miniaturized Time-of-Flight Sensors. - Hao Wang, Shuo Zhang, Biao Leng:
HGFormer: Topology-Aware Vision Transformer with HyperGraph Learning. - Lianlei Shan, Shixian Luo, Zezhou Zhu, Yu Yuan, Yong Wu:
Cognitive Memory in Large Language Models. - Anna Herlihy, Anastasia Ailamaki, Martin Odersky, Amir Shaikhha:
Language-Integrated Recursive Queries. - Jiasi Zhou, Yanjing Sun, Chintha Tellambura:
Revolutionizing Medical Data Transmission with IoMT: A Comprehensive Survey of Wireless Communication Solutions and Future Directions. - Vijeth Aradhya, Christian Scheideler:
Towards Learning-Augmented Peer-to-Peer Networks: Self-Stabilizing Graph Linearization with Untrusted Advice. - Jingyi Wang, Duanfeng Chu, Zejian Deng, Liping Lu, Jinxiang Wang, Chen Sun:
CHARMS: A Cognitive Hierarchical Agent for Reasoning and Motion Stylization in Autonomous Driving. - Jiayi Gao, Zijin Yin, Changcheng Hua, Yuxin Peng, Kongming Liang, Zhanyu Ma, Jun Guo, Yang Liu:
ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer. - Changshuo Wang, Shuting He, Xiang Fang, Meiqing Wu, Siew-Kei Lam, Prayag Tiwari:
Taylor Series-Inspired Local Structure Fitting Network for Few-shot Point Cloud Semantic Segmentation. - Tianrui Zou, Yuan Fang, Jing Wang, Menghan Dou, Jun Fu, ZiQiang Zhao, ShuBin Zhao, Lei Yu, Dongyi Zhao, Zhaoyun Chen, Guoping Guo:
QPanda3: A High-Performance Software-Hardware Collaborative Framework for Large-Scale Quantum-Classical Computing Integration. - Carlos Fernández-Loría, Jorge Loría:
The Amenability Framework: Rethinking Causal Ordering Without Estimating Causal Effects. - Liangbo Ning, Wenqi Fan, Qing Li:
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation. - Reza Najian Asl, Yusuke Yamazaki, Kianoosh Taghikhani, Mayu Muramatsu, Markus Apel, Shahed Rezaei:
A Physics-Informed Meta-Learning Framework for the Continuous Solution of Parametric PDEs on Arbitrary Geometries. - Juliett Suárez Ferreira, Marija Slavkovik, Jorge Casillas:
Am I Being Treated Fairly? A Conceptual Framework for Individuals to Ascertain Fairness. - Vladimir Slaykovskiy, Maksim Zvegintsev, Yury Sakhonchyk, Hrachik Ajamian:
Evaluating AI Recruitment Sourcing Tools by Human Preference. - Ruixiao Zhang, Runwei Guan, Xiangyu Chen, Adam Prügel-Bennett, Xiaohao Cai:
CornerPoint3D: Look at the Nearest Corner Instead of the Center. - Soumyaratna Debnath, Ashish Tiwari, Kaustubh Sadekar, Shanmuganathan Raman:
RASP: Revisiting 3D Anamorphic Art for Shadow-Guided Packing of Irregular Objects. - Qisheng Hu, Quanyu Long, Wenya Wang:
BOOST: Bootstrapping Strategy-Driven Reasoning Programs for Program-Guided Fact-Checking. - Håkon Næss Sandum, Hans Ole Ørka, Oliver Tomic, Erik Næsset, Terje Gobakken:
Semantic segmentation of forest stands using deep learning. - Rick van Essen, Eldert J. van Henten, Lammert Kooistra, Gert Kootstra:
Adaptive path planning for efficient object search by UAVs in agricultural fields. - David Hötten, Jenny Niebsch, Ronny Ramlau, Walter Zulehner:
Heat Conduction with Phase Change in Permafrost Modules of Vegetation Models. - Xiaofeng Han, Shunpeng Chen, Zenghuang Fu, Zhe Feng, Lue Fan, Dong An, Changwei Wang, Li Guo, Weiliang Meng, Xiaopeng Zhang, Rongtao Xu, Shibiao Xu:
Multimodal Fusion and Vision-Language Models: A Survey for Robot Vision. - Bizhu Wu, Jinheng Xie, Keming Shen, Zhe Kong, Jianfeng Ren, Ruibin Bai, Rong Qu, Linlin Shen:
MG-MotionLLM: A Unified Framework for Motion Comprehension and Generation across Multiple Granularities. - Stefano Covone, Italo Napolitano, Francesco De Lellis, Mario di Bernardo:
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets. - Kyungmin Choi, Jakeoung Koo, Steve McLaughlin, Abderrahim Halimi:
Graph Attention-Driven Bayesian Deep Unrolling for Dual-Peak Single-Photon Lidar Imaging. - Mara Graziani, Antonio Foncubierta, Dimitrios Christofidellis, Irina Espejo Morales, Malina Molnar, Marvin Alberts, Matteo Manica, Jannis Born:
We Need Improved Data Curation and Attribution in AI for Scientific Discovery. - Ajay Sivakumar, Shalini, Vasantha Raj, Sebastian Sylvester:
The Self-Learning Agent with a Progressive Neural Network Integrated Transformer. - Qian Zuo, Dajun Tao, Tian Qi, Jieyi Xie, Zijie Zhou, Zhen Tian, Yu Mingyu:
Industrial Internet Robot Collaboration System and Edge Computing Optimization. - Faisal Mohammad, Duksan Ryu:
Semiconductor Wafer Map Defect Classification with Tiny Vision Transformers. - Zijun Liu, Peiyi Wang, Runxin Xu, Shirong Ma, Chong Ruan, Peng Li, Yang Liu, Yu Wu:
Inference-Time Scaling for Generalist Reward Modeling. - Jiuniu Wang, Wenjia Xu, Qingzhong Wang, Antoni B. Chan:
Group-based Distinctive Image Captioning with Memory Difference Encoding and Attention. - Sin Chee Chin, Fan Zhang, Xiaochen Yang, Jing-Hao Xue, Wenming Yang, Peng Jia, Guijin Wang, Luo Yingqun:
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection. - Georgy Ishmaev:
Ethics of Blockchain Technologies. - Abhay Kumar, Louis Owen, Nilabhra Roy Chowdhury, Fabian Güra:
ZClip: Adaptive Spike Mitigation for LLM Pre-Training. - Zhuguanyu Wu, Jiayi Zhang, Jiaxin Chen, Jinyang Guo, Di Huang, Yunhong Wang:
APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers. - Yuhao Liu, Maolin Yang, Pingyu Jiang:
A Memory-Augmented LLM-Driven Method for Autonomous Merging of 3D Printing Work Orders. - Emad Bahrami, Olga Zatsarynna, Gianpiero Francesca, Juergen Gall:
Towards Generalizing Temporal Action Segmentation to Unseen Views. - Marc Hovemann:
Adaptive Bivariate Quarklet Tree Approximation via Anisotropic Tensor Quarklets. - Nedko Savov, Naser Kazemi, Mohammad Mahdi, Danda Pani Paudel, Xi Wang, Luc Van Gool:
Exploration-Driven Generative Interactive Environments. - Lin Yang, Sri Harsha Turlapati, Zhuoyi Lu, Chen Lv, Domenico Campolo:
A Planning Framework for Stable Robust Multi-Contact Manipulation. - Yash Kulthe, Andrew Gilbert, John P. Collomosse:
MultiNeRF: Multiple Watermark Embedding for Neural Radiance Fields. - Christian Alexander Holz, Christian Bader, Markus Enzweiler, Matthias Drueppel:
Data-Driven Object Tracking: Integrating Modular Neural Networks into a Kalman Framework. - Kushal Jain, Piyushi Goyal, Kumar Shridhar:
UNDO: Understanding Distillation as Optimization. - Fatemeh Behrad, Tinne Tuytelaars, Johan Wagemans:
Charm: The Missing Piece in ViT fine-tuning for Image Aesthetic Assessment. - Yunhao Lv, Lingyu Chen, Jian Wang, Yangxi Li, Fang Chen:
SelfMedHPM: Self Pre-training With Hard Patches Mining Masked Autoencoders For Medical Image Segmentation. - Jeba Rezwana, Corey Ford:
Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity. - Amy Hodgkin, Nick Pepper, Marc Thomas:
Probabilistic Simulation of Aircraft Descent via a Hybrid Physics-Data Approach. - Vincenzo Petrolo, Flavia Guella, Michele Caon, Pasquale Davide Schiavone, Guido Masera, Maurizio Martina:
ARCANE: Adaptive RISC-V Cache Architecture for Near-memory Extensions. - Mykola Lavreniuk, Nataliia Kussul, Andrii Shelestov, Bohdan Yailymov, Yevhenii Salii, Volodymyr Kuzin, Zoltan Szantoi:
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite Imagery. - Konrad Gadzicki, Kerstin Schill, Christoph Zetzsche:
A Sensorimotor Vision Transformer. - Asadullah Tariq, Tariq Qayyum, Saed Alrabaee, Mohamed Adel Serhani:
Blockchain and Distributed Ledger Technologies for Cyberthreat Intelligence Sharing. - Fa-Ting Hong, Zunnan Xu, Zixiang Zhou, Jun Zhou, Xiu Li, Qin Lin, Qinglin Lu, Dan Xu:
Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation. - David Leeftink, Çagatay Yildiz, Steffen Ridderbusch, Max Hinne, Marcel van Gerven:
Probabilistic Pontryagin's Maximum Principle for Continuous-Time Model-Based Reinforcement Learning. - Tal Amir, Nadav Dym:
Fourier Sliced-Wasserstein Embedding for Multisets and Measures. - Bo-Kai Ruan, Hong-Han Shuai:
MAD: Makeup All-in-One with Cross-Domain Diffusion Model. - Xiangxiang Chu, Hailang Huang, Xiao Zhang, Fei Wei, Yong Wang:
GPG: A Simple and Strong Reinforcement Learning Baseline for Model Reasoning. - Andrea Davidson, Jessica M. Ray, Yulia Strekalova Levites, Parisa Rashidi, Azra Bihorac:
Human-Centered Development of an Explainable AI Framework for Real-Time Surgical Risk Surveillance. - Stefano Lambiase, Gemma Catolino, Fabio Palomba, Filomena Ferrucci, Daniel Russo:
Exploring Individual Factors in the Adoption of LLMs for Specific Software Engineering Tasks. - Hesong Li, Ziqi Wu, Ruiwen Shao, Tao Zhang, Ying Fu:
Noise Calibration and Spatial-Frequency Interactive Network for STEM Image Enhancement. - Andrei Dumitriu, Florin Tatui, Florin Miron, Radu Tudor Ionescu, Radu Timofte:
Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results. - Siddharth Khincha, Tushar Kataria, Ankita Anand, Dan Roth, Vivek Gupta:
Leveraging LLM For Synchronizing Information Across Multilingual Tables. - Yongqi Zhai, Luyang Tang, Wei Jiang, Jiayu Yang, Ronggang Wang:
L-LBVC: Long-Term Motion Estimation and Prediction for Learned Bi-Directional Video Compression. - Athanasios Gkelias, Patrick J. Baker, Kin K. Leung, Olwen Worthington, Christopher R. Melville:
Digital Twins for Internet of Battlespace Things (IoBT) Coalitions. - Luca Furieri, Sucheth Shenoy, Danilo Saccani, Andrea Martin, Giancarlo Ferrari-Trecate:
MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning. - Fabio Celli, Georgios Spathulas:
Language Models reach higher Agreement than Humans in Historical Interpretation. - Ankur Shiledar, Manfredi Villani, Joseph N. E. Lucero, Ruixiao Sun, Vivek A. Sujan, Simona Onori, Giorgio Rizzoni:
Assessing Geographical and Seasonal Influences on Energy Efficiency of Electric Drayage Trucks. - Erik Arakelyan:
Reasoning Inconsistencies and How to Mitigate Them in Deep Learning. - Caroline Berger, David Weintrop, Niklas Elmqvist:
"I Feel Like I'm Teaching in a Gladiator Ring": Barriers and Benefits of Live Coding in Classroom Settings. - Razvan Paroiu, Stefan Trausan-Matu:
Deep learning for music generation. Four approaches and their comparative evaluation. - Yan Ma, Steffi Chern, Xuyang Shen, Yiran Zhong, Pengfei Liu:
Rethinking RL Scaling for Vision Language Models: A Transparent, From-Scratch Framework and Comprehensive Evaluation Scheme. - Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov:
Knowledge Graph Completion with Mixed Geometry Tensor Factorization. - Kepu Zhang, Guofu Xie, Weijie Yu, Mingyue Xu, Xu Tang, Yaxin Li, Jun Xu:
LexPam: Legal Procedure Awareness-Guided Mathematical Reasoning. - Sanja Karilanova, Subhrakanti Dey, Ayça Özçelikkale:
State-Space Model Inspired Multiple-Input Multiple-Output Spiking Neurons. - Matteo Cederle, Marco Fabris, Gian Antonio Susto:
Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning. - Bharani Jayakumar, Orkun Özoglu:
Graphs are everywhere - Psst! In Music Recommendation too. - Abdul Rehman, Talha Meraj, Aiman Mahmood Minhas, Ayisha Imran, Mohsen Ali, Waqas Sultani, Mubarak Shah:
Leveraging Sparse Annotations for Leukemia Diagnosis on the Large Leukemia Dataset. - Hedi Naouara, Jean-Pierre Lorré, Jérôme Louradour:
LinTO Audio and Textual Datasets to Train and Evaluate Automatic Speech Recognition in Tunisian Arabic Dialect. - Daoguang Zan, Zhirong Huang, Wei Liu, Hanwu Chen, Linhao Zhang, Shulin Xin, Lu Chen, Qi Liu, Xiaojian Zhong, Aoyan Li, Siyao Liu, Yongsheng Xiao, Liangqiang Chen, Yuyu Zhang, Jing Su, Tianyu Liu, Rui Long, Kai Shen, Liang Xiang:
Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving. - Jonas Teufel, Annika Leinweber, Pascal Friederich:
Improving Counterfactual Truthfulness for Molecular Property Prediction through Uncertainty Quantification. - Samuel Tesfazgi, Leonhard Sprandl, Sandra Hirche:
Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks. - Sarita de Berg, Ivor van der Hoog, Eva Rotenberg, Daniel Rutschmann, Sampson Wong:
Instance-Optimal Imprecise Convex Hull. - Jiwoo Chung, Sangeek Hyun, Hyunjun Kim, Eunseo Koh, MinKyu Lee, Jae-Pil Heo:
Fine-Tuning Visual Autoregressive Models for Subject-Driven Generation. - Aman Singh, Shahid Shafi Dar, Ranveer Singh, Nagendra Kumar:
A Hybrid Similarity-Aware Graph Neural Network with Transformer for Node Classification. - Lihua Liu, Jiehong Lin, Zhenxin Liu, Kui Jia:
PicoPose: Progressive Pixel-to-Pixel Correspondence Learning for Novel Object Pose Estimation. - Dong-Sig Han, Jaein Kim, Hee bin Yoo, Byoung-Tak Zhang:
Variational Online Mirror Descent for Robust Learning in Schrödinger Bridge. - Leonardo Iurada, Marco Ciccone, Tatiana Tommasi:
Efficient Model Editing with Task-Localized Sparse Fine-tuning. - Rahul R. Divekar, Sophia Guerra, Lisette Gonzalez, Natasha Boos, Helen Zhou:
Exploring undercurrents of learning tensions in an LLM-enhanced landscape: A student-centered qualitative perspective on LLM vs Search. - Peijie Yu, Yifan Yang, Jinjian Li, Zelong Zhang, Haorui Wang, Xiao Feng, Feng Zhang:
Multi-Mission Tool Bench: Assessing the Robustness of LLM based Agents through Related and Dynamic Missions. - Lixing He, Bufang Yang, Di Duan, Zhenyu Yan, Guoliang Xing:
EmbodiedSense: Understanding Embodied Activities with Earphones. - Douglas R. Q. Pacheco, Richard Schussnig:
An efficient and energy-stable IMEX splitting scheme for dispersed multiphase flows. - Karin L. Yu, Eleni Chatzi, Georgios Kissas:
Grammar-based Ordinary Differential Equation Discovery. - Mohamed Benzaghta, Sahar Ammar, David López-Pérez, Basem Shihada, Giovanni Geraci:
Data-Driven Design of 3GPP Handover Parameters with Bayesian Optimization and Transfer Learning. - Ming Li, Qin Xie, Ariunaa Enkhtur, Shuoyang Meng, Lilan Chen, Beverley Anne Yamamoto, Fei Cheng, Masayuki Murakami:
A Framework for Developing University Policies on Generative AI Governance: A Cross-national Comparative Study. - Shashi Raj Pandey, Fabio Saggese, Junya Shiraishi, Federico Chiariotti, Petar Popovski:
Medium Access for Push-Pull Data Transmission in 6G Wireless Systems. - Félix Grèzes:
Reservoir Computing: A New Paradigm for Neural Networks. - ZhongLi Fang, Yu Xie, Ping Chen:
RoSMM: A Robust and Secure Multi-Modal Watermarking Framework for Diffusion Models. - Mirko Stappert, Bernhard Lutz, Janis Brammer, Dirk Neumann:
Solving the Paint Shop Problem with Flexible Management of Multi-Lane Buffers Using Reinforcement Learning and Action Masking. - Haruka Kiyohara, Daniel Yiming Cao, Yuta Saito, Thorsten Joachims:
Prompt Optimization with Logged Bandit Data. - Raghu Arghal, Kevin He, Shirin Saeedi Bidokhti, Saswati Sarkar:
Controlled Social Learning: Altruism vs. Bias. - Helena Bergold, Manfred Scheucher:
Investigating Simple Drawings of Kn using SAT. - Parastoo Akbari, Cameron A. MacKenzie:
Optimizing Resource Allocation to Mitigate the Risk of Disruptive Events in Homeland Security and Emergency Management. - Max Heinz Herkersdorf, Oliver Nelles:
Online and Offline Space-Filling Input Design for Nonlinear System Identification: A Receding Horizon Control-Based Approach. - Ivo Amador, Nina Gierasimczuk:
SymDQN: Symbolic Knowledge and Reasoning in Neural Network-based Reinforcement Learning. - Beichen Huang, Yueming Yuan, Zelei Shao, Minjia Zhang:
MiLo: Efficient Quantized MoE Inference with Mixture of Low-Rank Compensators. - Mirko Stappert, Bernhard Lutz, Niklas Goby, Dirk Neumann:
Integrating Human Knowledge Through Action Masking in Reinforcement Learning for Operations Research. - Yuka Haruki, Kei Kato, Yuki Enami, Hiroaki Takeuchi, Daiki Kazuno, Kotaro Yamada, Teruaki Hayashi:
Development of Automated Data Quality Assessment and Evaluation Indices by Analytical Experience. - Romy Müller:
How humans evaluate AI systems for person detection in automatic train operation: Not all misses are alike. - Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu:
BECAME: BayEsian Continual Learning with Adaptive Model MErging. - Thomas Dooms, Ward Gauderis, Geraint A. Wiggins, José Oramas:
Compositionality Unlocks Deep Interpretable Models. - Maciej Besta, Lorenzo Paleari, Jia Hao Andrea Jiang, Robert Gerstenberger, You Wu, Patrick Iff, Ales Kubicek, Piotr Nyczyk, Diana Khimey, Jón Gunnar Hannesson, Grzegorz Kwasniewski, Marcin Copik, Hubert Niewiadomski, Torsten Hoefler:
Affordable AI Assistants with Knowledge Graph of Thoughts. - Zishuo Liu, Carlos Rabat Villarreal, Mostafa Rahgouy, Amit Das, Zheng Zhang, Chang Ren, Dongji Feng:
LLM for Complex Reasoning Task: An Exploratory Study in Fermi Problems. - Mattia Manucci, Benjamin Stamm, Zhuoyao Zeng:
Certified Model Order Reduction for parametric Hermitian eigenproblems. - Jacqueline Rowe, Edward Gow-Smith, Mark Hepple:
Limitations of Religious Data and the Importance of the Target Domain: Towards Machine Translation for Guinea-Bissau Creole. - Nana Tian, Elif Kurtay, Dylan Vairoli, Adriano Viegas Milani, Ronan Boulic:
Cybersickness Assessment Framework(TestBed): Towards a Standardization of Experiments. - Chengkai Tong:
Snow: Self-organizing Broadcast Protocol for Cloud. - Francesco Bianchin, Robert Lefringhausen, Elisa Gaetan, Samuel Tesfazgi, Sandra Hirche:
A Set-Theoretic Robust Control Approach for Linear Quadratic Games with Unknown Counterparts. - Iván Sevillano-García, Julián Luengo, Francisco Herrera:
STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability. - Achilles Machumilane, Alberto Gotta, Pietro Cassarà:
Handover and SINR-Aware Path Optimization in 5G-UAV mmWave Communication using DRL. - Yuhang Li, Ruokai Yin, Donghyun Lee, Shiting Xiao, Priyadarshini Panda:
GPTQv2: Efficient Finetuning-Free Quantization for Asymmetric Calibration. - Divesh Aggarwal, Rishav Gupta, Aditya Morolia:
Mind the Gap? Not for SVP Hardness under ETH! - Xingguang Zhang, Nicholas Chimitt, Xijun Wang, Yu Yuan, Stanley H. Chan:
Learning Phase Distortion with Selective State Space Models for Video Turbulence Mitigation. - Shengrui XU, Tianchi Lu, Zikun Wang, Jixiu Zhai:
SCMPPI: Supervised Contrastive Multimodal Framework for Predicting Protein-Protein Interactions. - Zachary Mullaghy:
Centroidal Voronoi Tessellations as Electrostatic Equilibria: A Generalized Thomson Problem in Convex Domains. - Ryan Marinelli:
Responsible Development of Offensive AI. - Ilham A. Qasse, Mohammad Hamdaqa, Björn Þór Jónsson:
EvoChain: A Framework for Tracking and Visualizing Smart Contract Evolution. - Nikhil Verma, Manasa Bharadwaj:
The Hidden Space of Safety: Understanding Preference-Tuned LLMs in Multilingual context. - Xinquan Wang, Fenghao Zhu, Chongwen Huang, Zhaohui Yang, Zhaoyang Zhang, Sami Muhaidat, Chau Yuen, Mérouane Debbah:
TeleMoM: Consensus-Driven Telecom Intelligence via Mixture of Models. - Shankha Shubhra Mukherjee, Wenyi Tang, Gustavo Prado Fenzi Aniceto, Jake Chandler, WenZhan Song, Taeho Jung:
Web3DB: Web 3.0 RDBMS for Individual Data Ownership. - Ilham A. Qasse, Ali Meghdari, Nafisa Ahmed, Mohammad Hamdaqa, Björn Þór Jónsson:
The Myth of Immutability: A Multivocal Review on Smart Contract Upgradeability. - Sahrish Jaleel Shaikh, Praveen Muthukrishnan, Yijun Lai, Benoît Montreuil:
Dynamic Directional Routing of Freight in the Physical Internet. - Chao Gao, Liren Shan, Vaidehi Srinivas, Aravindan Vijayaraghavan:
Computing High-dimensional Confidence Sets for Arbitrary Distributions. - Sammy Christen, David Müller, Agon Serifi, Ruben Grandia, Georg Wiedebach, Michael A. Hopkins, Espen Knoop, Moritz Bächer:
Autonomous Human-Robot Interaction via Operator Imitation. - Kehua Feng, Keyan Ding, Jing Yu, Menghan Li, Yuhao Wang, Tong Xu, Xinda Wang, Qiang Zhang, Huajun Chen:
ERPO: Advancing Safety Alignment via Ex-Ante Reasoning Preference Optimization. - Hui Zhang, Qinglin Zhao, Mengchu Zhou, Li Feng:
HQViT: Hybrid Quantum Vision Transformer for Image Classification. - Federico Barbero, Alvaro Arroyo, Xiangming Gu, Christos Perivolaropoulos, Michael M. Bronstein, Petar Velickovic, Razvan Pascanu:
Why do LLMs attend to the first token? - Aryan Agrawal, Lisa Alazraki, Shahin Honarvar, Marek Rei:
Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study. - Manh Pham Hung, Matthew Yiwen Ho, Yiming Zhang, Dimitris Spathis, Aaqib Saeed, Dong Ma:
Reliable Physiological Monitoring on the Wrist Using Generative Deep Learning to Address Poor Skin-Sensor Contact. - Nusrat Jahan Mozumder, Felipe Toledo, Swaroopa Dola, Matthew B. Dwyer:
RBT4DNN: Requirements-based Testing of Neural Networks. - Xiaoyu Chen, Weiming Feng, Zhe Ju, Tianshun Miao, Yitong Yin, Xinyuan Zhang:
Faster Mixing of the Jerrum-Sinclair Chain. - Aneesh Raghavan, Muhammad Umar B. Niazi, Karl Henrik Johansson:
Sequential Binary Hypothesis Testing with Competing Agents under Information Asymmetry. - Pradyumn Goyal, Dmitry Petrov, Sheldon Andrews, Yizhak Ben-Shabat, Hsueh-Ti Derek Liu, Evangelos Kalogerakis:
GEOPARD: Geometric Pretraining for Articulation Prediction in 3D Shapes. - Mathias Peirlinck, Kevin Linka, Ellen Kuhl:
Atrial constitutive neural networks. - Shahar Somin, Tom Cohen, Jeremy Kepner, Alex Pentland:
Echoes of the hidden: Uncovering coordination beyond network structure. - Ahmet Burak Yildirim, Mustafa Utku Aydogdu, Duygu Ceylan, Aysegul Dundar:
MD-ProjTex: Texturing 3D Shapes with Multi-Diffusion Projection. - Benjy Friedmann, Michael Werman:
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis. - Shengjun Zhang, Jinzhao Li, Xin Fei, Hao Liu, Yueqi Duan:
Scene Splatter: Momentum 3D Scene Generation from Single Image with Video Diffusion Model. - Nida Itrat Abbasi, Fethiye Irmak Dogan, Guy Laban, Joanna Anderson, Tamsin Ford, Peter B. Jones, Hatice Gunes:
Robot-Led Vision Language Model Wellbeing Assessment of Children. - Yujun Huang, Marius Furter, Gioele Zardini:
On Composable and Parametric Uncertainty in Systems Co-Design. - Andres Algaba, Vincent Holst, Floriano Tori, Melika Mobini, Brecht Verbeken, Sylvia Wenmackers, Vincent Ginis:
How Deep Do Large Language Models Internalize Scientific Literature and Citation Practices? - Jaap Jumelet, Leonie Weissweiler, Arianna Bisazza:
MultiBLiMP 1.0: A Massively Multilingual Benchmark of Linguistic Minimal Pairs. - Md Somir Khan, Mehmet Engin Tozal:
Curbing the Ramifications of Authorship Abuse in Science. - Sungjin Im, Benjamin Moseley, Hung Q. Ngo, Kirk Pruhs:
Efficient Algorithms for Cardinality Estimation and Conjunctive Query Evaluation With Simple Degree Constraints. - Yoon Gyo Jung, Jaewoo Park, Jaeho Yoon, Kuan-Chuan Peng, Wonchul Kim, Andrew Beng Jin Teoh, Octavia I. Camps:
TailedCore: Few-Shot Sampling for Unsupervised Long-Tail Noisy Anomaly Detection. - Gbouna Vincent Zakka, Luis J. Manso, Zhuangzhuang Dai:
Multi-Head Adaptive Graph Convolution Network for Sparse Point Cloud-Based Human Activity Recognition. - Alexander Leszczynski, Sarah Gillet, Iolanda Leite, Fethiye Irmak Dogan:
BT-ACTION: A Test-Driven Approach for Modular Understanding of User Instruction Leveraging Behaviour Trees and LLMs. - Joshua Holstein, Moritz Diener, Philipp Spitzer:
From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks. - Selim Ickin, Shruti Bothe, Aman Raparia, Nitin Khanna, Erik Sanders:
Towards Green AI-Native Networks: Evaluation of Neural Circuit Policy for Estimating Energy Consumption of Base Stations. - Zhiyuan Yan, Junyan Ye, Weijia Li, Zilong Huang, Shenghai Yuan, Xiangyang He, Kaiqing Lin, Jun He, Conghui He, Li Yuan:
GPT-ImgEval: A Comprehensive Benchmark for Diagnosing GPT4o in Image Generation. - Karin de Langis, Jong Inn Park, Bin Hu, Khanh Chi Le, Andreas Schramm, Michael C. Mensink, Andrew Elfenbein, Dongyeop Kang:
A Framework for Robust Cognitive Evaluation of LLMs. - Tuukka Korhonen:
Dynamic Treewidth in Logarithmic Time. - Chuning Zhu, Raymond Yu, Siyuan Feng, Benjamin Burchfiel, Paarth Shah, Abhishek Gupta:
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets. - Gaurav Verma, Jiawei Zhou, Mohit Chandra, Srijan Kumar, Munmun De Choudhury:
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models. - Behdokht Kiafar, Pavan Uttej Ravva, Asif Ahmmed Joy, Salam Daher, Roghayeh Leila Barmaki:
MENA: Multimodal Epistemic Network Analysis for Visualizing Competencies and Emotions. - Prashanth Chandran, Agon Serifi, Markus Gross, Moritz Bächer:
Spline-based Transformers. - Anita Rau, Mark Endo, Josiah Aklilu, Jaewoo Heo, Khaled Saab, Alberto Paderno, Jeffrey Jopling, F. Christopher Holsinger, Serena Yeung-Levy:
Systematic Evaluation of Large Vision-Language Models for Surgical Artificial Intelligence. - Zhuohan Ge, Nicole Hu, Darian Li, Yubo Wang, Shihao Qi, Yuming Xu, Han Shi, Jason Zhang:
A Survey of Large Language Models in Mental Health Disorder Detection on Social Media. - Jay N. Paranjape, Celso de Melo, Vishal M. Patel:
F-ViTA: Foundation Model Guided Visible to Thermal Translation. - Fan Zhou, Zengzhi Wang, Nikhil Ranjan, Zhoujun Cheng, Liping Tang, Guowei He, Zhengzhong Liu, Eric P. Xing:
MegaMath: Pushing the Limits of Open Math Corpora. - Haowei Lin, Xiangyu Wang, Ruilin Yan, Baizhou Huang, Haotian Ye, Jianhua Zhu, Zihao Wang, James Zou, Jianzhu Ma, Yitao Liang:
Generative Evaluation of Complex Reasoning in Large Language Models. - Van Nguyen Nguyen, Stephen Tyree, Andrew Guo, Mederic Fourmy, Anas Gouda, Taeyeop Lee, Sungphill Moon, Hyeontae Son, Lukas Ranftl, Jonathan Tremblay, Eric Brachmann, Bertram Drost, Vincent Lepetit, Carsten Rother, Stan Birchfield, Jiri Matas, Yann Labbé, Martin Sundermeyer, Tomas Hodan:
BOP Challenge 2024 on Model-Based and Model-Free 6D Object Pose Estimation. - Zhipeng Huang, Cornelis W. Oosterlee:
Convergence of the Markovian iteration for coupled FBSDEs via a differentiation approach. - Kangle Deng, Hsueh-Ti Derek Liu, Yiheng Zhu, Xiaoxia Sun, Chong Shang, Kiran Bhat, Deva Ramanan, Jun-Yan Zhu, Maneesh Agrawala, Tinghui Zhou:
Efficient Autoregressive Shape Generation via Octree-Based Adaptive Tokenization. - Yuexi Du, Jiazhen Zhang, Nicha C. Dvornek, John A. Onofrey:
GMR-Conv: An Efficient Rotation and Reflection Equivariant Convolution Kernel Using Gaussian Mixture Rings. - Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot, Serge J. Belongie, Zeynep Akata:
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models. - Xinghong Fu, Ziming Liu, Max Tegmark:
Do Two AI Scientists Agree? - Divya Velayudhan, Abdelfatah Hassan Ahmed, Mohamad Alansari, Neha Gour, Abderaouf Behouch, Taimur Hassan, Syed Talal Wasim, Nabil Maalej, Muzammal Naseer, Juergen Gall, Mohammed Bennamoun, Ernesto Damiani, Naoufel Werghi:
STING-BEE: Towards Vision-Language Model for Real-World X-ray Baggage Security Inspection. - Xiangyu Zhao, Peiyuan Zhang, Kexian Tang, Hao Li, Zicheng Zhang, Guangtao Zhai, Junchi Yan, Hua Yang, Xue Yang, Haodong Duan:
Envisioning Beyond the Pixels: Benchmarking Reasoning-Informed Visual Editing. - Ruining Li, Gabrijel Boduljak, Jensen Zhou:
On Vanishing Variance in Transformer Length Generalization. - Jinqi Luo, Tianjiao Ding, Kwan Ho Ryan Chan, Hancheng Min, Chris Callison-Burch, René Vidal:
Concept Lancet: Image Editing with Compositional Representation Transplant. - Van Chung Nguyen, Hung Manh La:
A Class of Hierarchical Sliding Mode Control based on Extended Kalman filter for Quadrotor UAVs. - Yike Qiao, Xiaodong He, An Zhuo, Zhiyong Sun, Weimin Bao, Zhongkui Li:
Curvature-Constrained Vector Field for Motion Planning of Nonholonomic Robots. - Maciej Skorski, Alina Landowska, Krzysztof Rajda:
Mapping Technological Futures: Anticipatory Discourse Through Text Mining. - Lu Cheng, Qixiu Zhang, Beibei Xu, Zhiwei Huang, Cirun Zhang, Yanan Lyu, Fan Zhang:
Exploration of Multi-Element Collaborative Research and Application for Modern Power System Based on Generative Large Models. - Eugenia Villa, Camilla Quaresmini, Valentina Breschi, Viola Schiaffonati, Mara Tanelli:
The epistemic dimension of algorithmic fairness: assessing its impact in innovation diffusion and fair policy making. - Evgenii Evstafev:
Optimizing Humor Generation in Large Language Models: Temperature Configurations and Architectural Trade-offs. - Yang Li, Shitu Zhang, Yuanzheng Li:
AI-Enhanced Resilience in Power Systems: Adversarial Deep Learning for Robust Short-Term Voltage Stability Assessment under Cyber-Attacks. - Karthik Shivashankar:
Computer Vision and Deep Learning for 4D Augmented Reality. - Sudong Wang, Yunjian Zhang, Yao Zhu, Jianing Li, Zizhe Wang, Yanwei Liu, Xiangyang Ji:
Towards Understanding How Knowledge Evolves in Large Vision-Language Models. - Girma Yohannis Bade, Zahra Ahani, Olga Kolesnikova, José Luis Oropeza, Grigori Sidorov:
GS_DravidianLangTech@2025: Women Targeted Abusive Texts Detection on Social Media. - Peter Adelson, Julian Nyarko:
The Material Contracts Corpus. - Yining Wang, Yuquan Wang, Xi Li, Mi Zhang, Geng Hong, Min Yang:
The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances. - Xiucheng Liang, Jinheng Xie, Tianhong Zhao, Rudi Stouffs, Filip Biljecki:
OpenFACADES: An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery. - Hongliu Cao, Ilias Driouich, Robin Singh, Eoin Thomas:
Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applications. - Noémie Févrat, Vincent Labatut, Émilie Volpi, Guillaume Marrel:
A Dataset of the Representatives Elected in France During the Fifth Republic. - Frank P.-W. Lo, Jianing Qiu, Zeyu Wang, Haibao Yu, Yeming Chen, Gao Zhang, Benny Lo:
AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume Screening. - Enshuo Hsu, Martin Ugbala, Krishna Kookal Kumar, Zouaidi Kawtar, Nicholas L. Rider, Muhammad F. Walji, Kirk Roberts:
Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction. - Ingmar Bakermans, Daniel De Pascale, Gonçalo Marcelino, Giuseppe Cascavilla, Zeno Geradts:
Scraping the Shadows: Deep Learning Breakthroughs in Dark Web Intelligence. - Dongjun Wei, Minjia Mao, Xiao Fang, Michael Chau:
Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion. - Luis Felipe, Carlos Garcia, Issam El Naqa, Monique Shotande, Aakash Tripathi, Vivek Rudrapatna, Ghulam Rasool, Danielle Bitterman, Gilmer Valdes:
TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet. - Liuxin Yang, Priyanka Ladha:
Real Time Animator: High-Quality Cartoon Style Transfer in 6 Animation Styles on Images and Videos. - Yangxiao Lu, Ruosen Li, Liqiang Jing, Jikai Wang, Xinya Du, Yunhui Guo, Nicholas Ruozzi, Yu Xiang:
Multimodal Reference Visual Grounding. - DongHyun Choi, Lucas Spangher, Chris Hidey, Peter Grabowski, Ramy Eskander:
Revisiting Funnel Transformers for Modern LLM Architectures with Comprehensive Ablations in Training and Inference Configurations. - Lilin Xu, Kaiyuan Hou, Xiaofan Jiang:
Exploring the Capabilities of LLMs for IMU-based Fine-grained Human Activity Understanding. - Hongfei Cai, Chi Liu, Sheng Shen, Youyang Qu, Peng Gui:
Robust AI-Synthesized Image Detection via Multi-feature Frequency-aware Learning. - Nick Whitehouse, Nicole Lincoln, Stephanie Yiu, Lizzie Catterson, Rivindu Perera:
Better Bill GPT: Comparing Large Language Models against Legal Invoice Reviewers. - Sunghee Jung, Donghun Lee, Shinbok Lee, Gaeun Seo, Daniel Lee, Byeongil Ko, Junrae Cho, Kihyun Kim, EungGyun Kim, Myeongcheol Shin:
DiaTool-DPO: Multi-Turn Direct Preference Optimization for Tool-Augmented Large Language Models. - Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta:
SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models. - Baba Ibrahim, Zhou Kui:
Enhancing Traffic Sign Recognition On The Performance Based On Yolov8. - Hao Wang, Shuchang Ye, Jinghao Lin, Usman Naseem, Jinman Kim:
LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation. - Jan Lorenz Svensen, Wilson Ricardo Leal da Silva, Zhanhao Zhang, Steen Hørsholt, John Bagterp Jørgensen:
Dynamical Simulation Model of the Pyro-Process in Cement Clinker Production. - John Chen, Alexandros Lotsos, Grace Wang, Lexie Zhao, Bruce Sherin, Uri Wilensky, Michael S. Horn:
Processes Matter: How ML/GAI Approaches Could Support Open Qualitative Coding of Online Discourse Datasets. - Wenkang Wang, Ran Xu, Jingsen Feng, Qingfu Zhang, Xu Chu:
A Status Quo Investigation of Large Language Models towards Cost-Effective CFD Automation with OpenFOAMGPT: ChatGPT vs. Qwen vs. Deepseek. - Takanori Ugai:
Embedding Method for Knowledge Graph with Densely Defined Ontology. - Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen:
Scaling Test-time Compute for Low-resource Languages: Multilingual Reasoning in LLMs. - Kurmanbek Kaiyrbekov, Nicholas J. Dobbins, Sean D. Mooney:
Automated Survey Collection with LLM-based Conversational Agents. - Ahsan Bilal, Beiyu Lin:
OnRL-RAG: Real-Time Personalized Mental Health Dialogue System. - Farida Al Haddad, Yuxin Wang, Malcolm Mielle:
UAC: Uncertainty-Aware Calibration of Neural Networks for Gesture Detection. - Lele Cao:
A Practical Synthesis of Detecting AI-Generated Textual, Visual, and Audio Content. - Giuseppe Russo, Kristina Gligoric, Vincent Moreau, Robert West:
Meat-Free Day Reduces Greenhouse Gas Emissions but Poses Challenges for Customer Retention and Adherence to Dietary Guidelines. - Matheus Martins Batista:
Comparative Analysis of Deepfake Detection Models: New Approaches and Perspectives. - Bo Yuan, Yulin Chen, Yin Zhang, Wei Jiang:
Hide and Seek in Noise Labels: Noise-Robust Collaborative Active Learning with LLM-Powered Assistance. - Liangjie Huang, Dawei Li, Huan Liu, Lu Cheng:
Beyond Accuracy: The Role of Calibration in Self-Improving Large Language Models. - Hongzhe Du, Weikai Li, Min Cai, Karim Saraipour, Zimin Zhang, Himabindu Lakkaraju, Yizhou Sun, Shichang Zhang:
How Post-Training Reshapes LLMs: A Mechanistic View on Knowledge, Truthfulness, Refusal, and Confidence. - Lorena Torres Lahoz, Carlos Lima Azevedo, Leonardo Ancora, Paulo Morgado, Zenia Kotval, Bruno Miranda, Francisco Câmara Pereira:
Scenario Discovery for Urban Planning: The Case of Green Urbanism and the Impact on Stress. - Zhihan Zhang, Yixin Cao, Lizi Liao:
Enhancing Chart-to-Code Generation in Multimodal Large Language Models via Iterative Dual Preference Learning. - Sara Yarham, Mehran Behjati:
Enhancing Air Quality Monitoring: A Brief Review of Federated Learning Advances. - Zaid M. Altukhi, Sojen Pradhan:
Systematic Literature Review: Explainable AI Definitions and Challenges in Education. - Mohammad Reza Ghasemi Madani, Aryo Pradipta Gema, Gabriele Sarti, Yu Zhao, Pasquale Minervini, Andrea Passerini:
Noiser: Bounded Input Perturbations for Attributing Large Language Models. - Rohit Agarwal, Aryan Dessai, Arif Ahmed Sekh, Krishna Agarwal, Alexander Horsch, Dilip K. Prasad:
Haphazard Inputs as Images in Online Learning. - Andrea Da Col, Cristian R. Rojas, Vikram Krishnamurthy:
On Word-of-Mouth and Private-Prior Sequential Social Learning. - Keith Hubbard, Sheilla Amponsah:
Feature Engineering on LMS Data to Optimize Student Performance Prediction. - Thanathip Suenghataiphorn, Narisara Tribuddharat, Pojsakorn Danpanichkul, Narathorn Kulthamrongsri:
Bias in Large Language Models Across Clinical Applications: A Systematic Review. - Chenyu Zhang, Daniil Cherniavskii, Andrii Zadaianchuk, Antonios Tragoudaras, Antonios Vozikis, Thijmen Nijdam, Derck W. E. Prinzhorn, Mark Bodracska, Nicu Sebe, Efstratios Gavves:
Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments. - Anurag Kulkarni:
LiDAR-based Object Detection with Real-time Voice Specifications. - Yuwei An, Yihua Cheng, Seo Jin Park, Junchen Jiang:
HyperRAG: Enhancing Quality-Efficiency Tradeoffs in Retrieval-Augmented Generation with Reranker KV-Cache Reuse. - Julian Minder, Clément Dumas, Caden Juang, Bilal Chugtai, Neel Nanda:
Robustly identifying concepts introduced during chat fine-tuning using crosscoders. - Nikhil Shivakumar Nayak:
Graph Attention for Heterogeneous Graphs with Positional Encoding. - Marc Vilà-Insa, Aniol Martí, Meritxell Lamarca, Jaume Riba:
Low-Complexity Permutational Index Modulation for Noncoherent Massive SIMO Communications. - Xianwei Zhuang, Yuxin Xie, Yufan Deng, Dongchao Yang, Liming Liang, Jinghan Ru, Yuguo Yin, Yuexian Zou:
VARGPT-v1.1: Improve Visual Autoregressive Large Unified Model via Iterative Instruction Tuning and Reinforcement Learning. - Chen Cecilia Liu, Anna Korhonen, Iryna Gurevych:
Cultural Learning-Based Culture Adaptation of Language Models. - Shu Yang, Junchao Wu, Xin Chen, Yunze Xiao, Xinyi Yang, Derek F. Wong, Di Wang:
Understanding Aha Moments: from External Observations to Internal Mechanisms. - Sijia Zhou, Yunwen Lei, Ata Kabán:
Randomized Pairwise Learning with Adaptive Sampling: A PAC-Bayes Analysis. - Rafal Wlodarski, Leonardo da Silva Sousa, Allison E. Connell Pensky:
Level Up Peer Review in Education: Investigating genAI-driven Gamification system and its influence on Peer Feedback Effectiveness. - Zhipeng Yin, Zichong Wang, Weifeng Xu, Jun Zhuang, Pallab Mozumder, Antoinette Smith, Wenbin Zhang:
Digital Forensics in the Age of Large Language Models. - Yiqi Zhao, Emily Zhu, Bardh Hoxha, Georgios Fainekos, Jyotirmoy V. Deshmukh, Lars Lindemann:
Distributionally Robust Predictive Runtime Verification under Spatio-Temporal Logic Specifications. - Abhishek Sharma, Dan Goldwasser:
CoLa - Learning to Interactively Collaborate with Large LMs. - Lluís Pastor Pérez, Javier Alonso García, Lukas Mauch:
Global-Order GFlowNets. - Binh M. Le, Shaoyuan Xu, Jinmiao Fu, Zhishen Huang, Moyan Li, Yanhui Guo, Hongdong Li, Sameera Ramasinghe, Bryan Wang:
QID: Efficient Query-Informed ViTs in Data-Scarce Regimes for OCR-free Visual Document Understanding. - Prasanta Dutta, Anirban Mukhopadhyay:
Improved Compact Genetic Algorithms with Efficient Caching. - Cassandra L. Jacobs, Morgan Grobol:
A Bayesian account of pronoun and neopronoun acquisition. - Nick Rioux, Steve Zdancewic:
Functional Meaning for Parallel Streaming. - Nooshin Bahador:
Localized Definitions and Distributed Reasoning: A Proof-of-Concept Mechanistic Interpretability Study via Activation Patching. - Jeremy Guillaume, Maxime Pelcat, Amor Nafkha, Rubén Salvador:
Multi-Screaming-Channel Attacks: Frequency Diversity for Enhanced Attacks. - Xiaoyu Tong, Zhi Zhang, Martha Lewis, Ekaterina Shutova:
Hummus: A Dataset of Humorous Multimodal Metaphor Use. - Amir Hadifar, Christopher Ochs, Arjan Van Ewijk:
Language Models Guidance with Multi-Aspect-Cueing: A Case Study for Competitor Analysis. - Silvio Ghilardi, Jérémie Marquès:
First-Order Modal Logic via Logical Categories. - Adrian S. Roman, Aiden Chang, Gerardo Meza, Irán R. Román:
Generating Diverse Audio-Visual 360 Soundscapes for Sound Event Localization and Detection. - Guy Laban, Sophie Chiang, Hatice Gunes:
What People Share With a Robot When Feeling Lonely and Stressed and How It Helps Over Time. - Romain Bourneuf, Pierre Charbit, Stéphan Thomassé:
A Dense Neighborhood Lemma: Applications of Partial Concept Classes to Domination and Chromatic Number. - Heeseung Bang, Jung-Hoon Cho, Cathy Wu, Andreas A. Malikopoulos:
Route Recommendations for Traffic Management Under Learned Partial Driver Compliance. - Yiyuan Xiong, Shaofeng Cai:
Improving log-based anomaly detection through learned adaptive filter. - Lantian Zhang, Silun Zhang:
Online Learning for Nonlinear Dynamical Systems without the I.I.D. Condition. - Siqi Wang, Aoming Liu, Bryan A. Plummer:
Noise-Aware Generalization: Robustness to In-Domain Noise and Out-of-Domain Generalization. - Bixun Chen, Shaun Macdonald, Moataz Attallah, Paul Chapman, Rami Ghannam:
A Review of Prototyping in XR: Linking Extended Reality to Digital Fabrication. - Bahareh Golchin, Banafsheh Rekabdar:
Anomaly Detection in Time Series Data Using Reinforcement Learning, Variational Autoencoder, and Active Learning. - Raquel Fernandez-Peralta:
Fuzzy Implicative Rules: A Unified Approach. - Daniel M. Cherenson, Devansh R. Agrawal, Dimitra Panagou:
Autonomy Architectures for Safe Planning in Unknown Environments Under Budget Constraints. - Feiran Yang:
Improving Efficiency in Federated Learning with Optimized Homomorphic Encryption. - Jing Gao, Ce Zheng, László A. Jeni, Zackory Erickson:
DiSRT-In-Bed: Diffusion-Based Sim-to-Real Transfer Framework for In-Bed Human Mesh Recovery. - Shaoyuan Xu, Yang Cheng, Qian Lin, Jan P. Allebach:
Emotion Recognition Using Convolutional Neural Networks. - Junying Wang, Jingyuan Liu, Xin Sun, Krishna Kumar Singh, Zhixin Shu, He Zhang, Jimei Yang, Nanxuan Zhao, Tuanfeng Y. Wang, Simon S. Chen, Ulrich Neumann, Jae Shin Yoon:
Comprehensive Relighting: Generalizable and Consistent Monocular Human Relighting and Harmonization. - Pengkun Liu, Pingbo Tang, Jiepeng Liu, Yu Hou:
Quantifying Personality in Human-Drone Interactions for Building Heat Loss Inspection with Virtual Reality Training. - Yue Meng, Fei Chen, Yongchao Chen, Chuchu Fan:
AuDeRe: Automated Strategy Decision and Realization in Robot Planning and Control via LLMs. - Shaoyuan Xu, Cheng Lu, Mark Q. Shaw, Peter Bauer, Jan P. Allebach:
Page Classification for Print Imaging Pipeline. - Sheridan Feucht, Eric Todd, Byron C. Wallace, David Bau:
The Dual-Route Model of Induction. - Jannis Blüml, Cedric Derstroff, Bjarne Gregori, Elisabeth Dillies, Quentin Delfosse, Kristian Kersting:
Deep Reinforcement Learning via Object-Centric Attention. - Yiran Xu, Siqi Xie, Zhuofang Li, Harris Shadmany, Yinxiao Li, Luciano Sbaiz, Miaosen Wang, Junjie Ke, Jose Lezama, Hang Qi, Han Zhang, Jesse Berent, Ming-Hsuan Yang, Irfan Essa, Jiabin Huang, Feng Yang:
HALO: Human-Aligned End-to-end Image Retargeting with Layered Transformations. - Nava Haghighi, Sunny Yu, James A. Landay, Daniela Rosner:
Ontologies in Design: How Imagining a Tree Reveals Possibilites and Assumptions in Large Language Models. - Luca Nenna, Daniyar Omarov, Brendan Pass:
Characterizing and computing solutions to regularized semi-discrete optimal transport via an ordinary differential equation. - Zébulon Goriely, Paula Buttery:
IPA-CHILDES & G2P+: Feature-Rich Resources for Cross-Lingual Phonology and Phonemic Language Modeling. - Jack Garbus, Jordan Pollack:
Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution. - Taekyung Kim, Randal W. Beard, Dimitra Panagou:
How to Adapt Control Barrier Functions? A Learning-Based Approach with Applications to a VTOL Quadplane. - Hanping Zhang, Yuhong Guo:
Safety Modulation: Enhancing Safety in Reinforcement Learning through Cost-Modulated Rewards. - Huiming Sun, Yikang Li, Kangning Yang, Ruineng Li, Daitao Xing, Yangbo Xie, Lan Fu, Kai Zhang, Ming Chen, Jiaming Ding, Jiang Geng, Jie Cai, Zibo Meng, Chiu Man Ho:
VIP: Video Inpainting Pipeline for Real World Human Removal. - Joel Sol, Shadi Alijani, Homayoun Najjaran:
Sliced Wasserstein Discrepancy in Disentangling Representation and Adaptation Networks for Unsupervised Domain Adaptation. - Antonio Castaldo, Sheila Castilho, Joss Moorkens, Johanna Monti:
Extending CREAMT: Leveraging Large Language Models for Literary Translation Post-Editing. - Reef Alturki, Adrian Hilton, Jean-Yves Guillemaut:
Attention-Aware Multi-View Pedestrian Tracking. - Ian Berlot-Attwell, Frank Rudzicz, Xujie Si:
LLM Library Learning Fails: A LEGO-Prover Case Study. - Chengyang He, Wenlong Zhang, Violet Xinying Chen, Yue Ning, Ping Wang:
Task as Context Prompting for Accurate Medical Symptom Coding Using Large Language Models. - Hyun-Ho Choi, Kangsoo Kim, Ki-Ho Lee, Kisong Lee:
Cooperative Inference for Real-Time 3D Human Pose Estimation in Multi-Device Edge Networks. - Boce Hu, Heng Tian, Dian Wang, Haojie Huang, Xupeng Zhu, Robin Walters, Robert Platt:
Push-Grasp Policy Learning Using Equivariant Models and Grasp Score Optimization. - Haishan Wang, Mohammad Hassan Vali, Arno Solin:
Compressing 3D Gaussian Splatting by Noise-Substituted Vector Quantization. - Hao Yan, Yuhong Guo:
Context-Aware Self-Adaptation for Domain Generalization. - Yexiang Chen, Subhash Lakshminarayana, H. Vincent Poor:
Moving Target Defense Against Adversarial False Data Injection Attacks In Power Grids. - Udit Halder:
Statics of continuum planar grasping. - Huiyong Li, Boxuan Ma:
Design of AI-Powered Tool for Self-Regulation Support in Programming Education. - Aditya Dendukuri, Linda R. Petzold:
Adaptive Finite State Projection with Quantile-Based Pruning for Solving the Chemical Master Equation. - Ziyu Liu, Lintao Tang, Zeliang Sun, Zhengliang Liu, Yanjun Lyu, Wei Ruan, Yangshuang Xu, Liang Shan, Jiyoon Shin, Xiaohe Chen, Dajiang Zhu, Tianming Liu, Rongjie Liu, Chao Huang:
AD-GPT: Large Language Models in Alzheimer's Disease. - Pascal Chang, Jingwei Tang, Markus Gross, Vinicius C. Azevedo:
How I Warped Your Noise: a Temporally-Correlated Noise Prior for Diffusion Models. - Andre Rodriguez, William Osborn:
Distributed Locking: Performance Analysis and Optimization Strategies. - Daniel Appelö, Jeffrey W. Banks, William D. Henshaw, Donald W. Schwendeman:
An Optimal O(N) Helmholtz Solver for Complex Geometry using WaveHoltz and Overset Grids. - Jakub Kacper Szelag, Ji-Jian Chin, Lauren Ansell, Sook-Chin Yip:
Integrating Identity-Based Identification against Adaptive Adversaries in Federated Learning. - Manuel Jakob, Yannic Maus:
Towards Optimal Distributed Delta Coloring. - André Rösti, Michael Franz:
Unlocking the AMD Neural Processing Unit for ML Training on the Client Using Bare-Metal-Programming Tools. - Saumendu Roy, Saikat Mondal, Banani Roy, Chanchal Roy:
From Questions to Insights: Exploring XAI Challenges Reported on Stack Overflow Questions. - Prashant Kumar, Dheeraj Vattikonda, Kshitij Madhav Bhat, Kunal Dargan, Prem Kalra:
SLACK: Attacking LiDAR-based SLAM with Adversarial Point Injections. - Yeyuan Chen, Mahdi Cheraghchi, Nikhil Shagrithaya:
Optimal Erasure Codes and Codes on Graphs. - Md Zahidul Islam, Md Shahidul Islam, Biswajit Chandra das, Syed Ali Reza, Proshanta Kumar Bhowmik, Kanchon Kumar Bishnu, Md Shafiqur Rahman, Redoyan Chowdhury, Laxmi Pant:
Machine Learning-Based Detection and Analysis of Suspicious Activities in Bitcoin Wallet Transactions in the USA. - Zhiqun Zuo, Ding Zhu, Mohammad Mahdi Khalili:
Post-processing for Fair Regression via Explainable SVD. - Zhen Hao Sia, Yogesh Singh Rawat:
Scaling Open-Vocabulary Action Detection. - Jeremy D. Webb, Michael Bowman, Songpo Li, Xiaoli Zhang:
The Use of Gaze-Derived Confidence of Inferred Operator Intent in Adjusting Safety-Conscious Haptic Assistance. - Jinfan Yang, Leo Foord-Kelcey, Suzuran Takikawa, Nicholas Vining, Niloy J. Mitra, Alla Sheffer:
Learning Human Perspective in Line Drawings from Single Sketches. - Weili Cao, Jianyou Wang, Youze Zheng, Longtian Bao, Qirui Zheng, Taylor Berg-Kirkpatrick, Ramamohan Paturi, Leon Bergen:
Single-Pass Document Scanning for Question Answering. - Taosha Guo, Arie Ogranovich, Arvind R. Venkatakrishnan, Madelyn R. Shapiro, Francesco Bullo, Fabio Pasqualetti:
Oscillatory Associative Memory with Exponential Capacity. - Riccardo Bovo, Karan Ahuja, Ryo Suzuki, Mustafa Doga Dogan, Mar González-Franco:
Symbiotic AI: Augmenting Human Cognition from PCs to Cars. - Sanghyuck Lee, Sangkeun Park, Jaesung Lee:
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation. - Xuanyu Liu, Huiyun Yao, Jinggui Gao, Zhongyi Guo, Xue Zhang, Yulin Dong:
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation. - Jason Mars:
Extending Data Spatial Semantics for Scale Agnostic Programming. - Zichuan Li, Jian Cui, Xiaojing Liao, Luyi Xing:
Les Dissonances: Cross-Tool Harvesting and Polluting in Multi-Tool Empowered LLM Agents. - Ziteng Wei, Qiang He, Bing Li, Feifei Chen, Yun Yang:
NuWa: Deriving Lightweight Task-Specific Vision Transformers for Edge Devices. - Sinjini Mitra, Anuj Srivastava, Avipsa Roy, Pavan K. Turaga:
Graph Network Modeling Techniques for Visualizing Human Mobility Patterns. - Haejoon Lee, Dimitra Panagou:
Distributed Resilience-Aware Control in Multi-Robot Networks. - Abdelmonem Elrefaey, Rong Pan:
From Observation to Orientation: an Adaptive Integer Programming Approach to Intervention Design. - Tohid Kargar Tasooji, Sakineh Khodadadi, Guangjun Liu:
Event-Triggered Nonlinear Model Predictive Control for Cooperative Cable-Suspended Payload Transportation with Multi-Quadrotors. - Tohid Kargar Tasooji, Sakineh Khodadadi:
Event-Based Distributed Linear Quadratic Gaussian for Multi-Robot Coordination with Localization Uncertainty. - Tohid Kargar Tasooji, Sakineh Khodadadi:
Distributed Linear Quadratic Gaussian for Multi-Robot Coordination with Localization Uncertainty. - Kahim Wong, Jicheng Zhou, Kemou Li, Yain-Whar Si, Xiaowei Wu, Jiantao Zhou:
FontGuard: A Robust Font Watermarking Approach Leveraging Deep Font Knowledge. - Haozhan Tang, Tianyi Zhang, Oliver Kroemer, Matthew Johnson-Roberson, Weiming Zhi:
GraphSeg: Segmented 3D Representations via Graph Edge Addition and Contraction. - Jianguo Huang, Likun Qiu:
An efficient numerical method for surface acoustic wave equations over unbounded domains. - Zahid Hassan Tushar, Adeleke Ademakinwa, Jianwu Wang, Zhibo Zhang, Sanjay Purushotham:
Joint Retrieval of Cloud properties using Attention-based Deep Learning Models. - Junkai Zhang, Bin Li, Shoujun Zhou, Yue Du:
Hierarchical Modeling for Medical Visual Question Answering with Cross-Attention Fusion. - Xin Jin, Simon Niklaus, Zhoutong Zhang, Zhihao Xia, Chunle Guo, Yuting Yang, Jiawen Chen, Chongyi Li:
Classic Video Denoising in a Machine Learning World: Robust, Fast, and Controllable. - Tu Ao, Yanhua Yu, Yuling Wang, Yang Deng, Zirui Guo, Liang Pang, Pinghui Wang, Tat-Seng Chua, Xiao Zhang, Zhen Cai:
LightPROF: A Lightweight Reasoning Framework for Large Language Model on Knowledge Graph. - Xuran Ma, Yexin Liu, Yaofu Liu, Xianfeng Wu, Mingzhe Zheng, Zihao Wang, Ser-Nam Lim, Harry Yang:
Model Reveals What to Cache: Profiling-Based Feature Reuse for Video Diffusion Models. - Kazuya Izumi, Akihisa Shitara, Yoichi Ochiai:
See-Through Face Display for DHH People: Enhancing Gaze Awareness in Remote Sign Language Conversations with Camera-Behind Displays. - Abdul Mannan Mohammed, Azhar Ali Mohammad, Jason A. Ortiz, Carsten Neumann, Grace M. Bochenek, Dirk Reiners, Carolina Cruz-Neira:
A Human Digital Twin Architecture for Knowledge-based Interactions and Context-Aware Conversations. - Yutong He, Guangchun Ruan, Haiwang Zhong:
Performance-Aware Control of Modular Batteries For Fast Frequency Response. - Jing Bi, Susan Liang, Xiaofei Zhou, Pinxin Liu, Junjia Guo, Yunlong Tang, Luchuan Song, Chao Huang, Guangyu Sun, Jinxi He, Jiarui Wu, Shu Yang, Daoan Zhang, Chen Chen, Lianggong Bruce Wen, Zhang Liu, Jiebo Luo, Chenliang Xu:
Why Reasoning Matters? A Survey of Advancements in Multimodal Reasoning (v1). - Runxue Bao, Quanchao Lu, Yanfu Zhang:
Safe Screening Rules for Group OWL Models. - Natalie Tirabassi, Sathish A. P. Kumar, Sumit Jha, Arvind Ramanathan:
MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories. - Junshan Hu, Jialiang Mao, Zhikang Liu, Zhongpu Xia, Peng Jia, Xianpeng Lang:
TokenFLEX: Unified VLM Training for Flexible Visual Tokens Inference. - Yang He, Xiaoyu Liu, Yuepeng Wang:
Synthesizing Optimal Object Selection Predicates for Image Editing using Lattices. - Hugo Buurmeijer, Luis A. Pabon, John Irvin Alora, Roshan S. Kaundinya, George Haller, Marco Pavone:
Taming High-Dimensional Dynamics: Learning Optimal Projections onto Spectral Submanifolds. - Junlang Qian, Zixiao Zhu, Hanzhang Zhou, Zijian Feng, Zepeng Zhai, Kezhi Mao:
Beyond the Next Token: Towards Prompt-Robust Zero-Shot Classification via Efficient Multi-Token Prediction. - Yuxiang Zheng, Dayuan Fu, Xiangkun Hu, Xiaojie Cai, Lyumanshan Ye, Pengrui Lu, Pengfei Liu:
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments. - Zihan Gu, Ruoyu Chen, Hua Zhang, Yue Hu, Xiaochun Cao:
Beyond Progress Measures: Theoretical Insights into the Mechanism of Grokking. - Sai Gana Sandeep Pula, Sathish A. P. Kumar, Sumit Jha, Arvind Ramanathan:
Enhanced Penalty-based Bidirectional Reinforcement Learning Algorithms. - Kexin Tian, Jingrui Mao, Yunlong Zhang, Jiwan Jiang, Yang Zhou, Zhengzhong Tu:
NuScenes-SpatialQA: A Spatial Understanding and Reasoning Benchmark for Vision-Language Models in Autonomous Driving. - Weitao Li, Kaiming Liu, Xiangyu Zhang, Xuanyu Lei, Weizhi Ma, Yang Liu:
Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-Generation. - Hanbo Bi, Yingchao Feng, Boyuan Tong, Mengyu Wang, Haichen Yu, Yongqiang Mao, Hao Chang, Wenhui Diao, Peijin Wang, Yue Yu, Hanyang Peng, Yehong Zhang, Kun Fu, Xian Sun:
RingMoE: Mixture-of-Modality-Experts Multi-Modal Foundation Models for Universal Remote Sensing Image Interpretation. - Haruhiko Yoshioka, Sila Lertbanjongngam, Masayuki Inaba, Youmei Fan, Takashi Nakano, Kazumasa Shimari, Raula Gaikovina Kula, Kenichi Matsumoto:
Do Developers Depend on Deprecated Library Versions? A Mining Study of Log4j. - Lucas Choi, Ross Greer:
Finding the Reflection Point: Unpadding Images to Remove Data Augmentation Artifacts in Large Open Source Image Datasets for Machine Learning. - Shabnam Choudhury, Yash Salunkhe, Sarthak Mehrotra, Biplab Banerjee:
REJEPA: A Novel Joint-Embedding Predictive Architecture for Efficient Remote Sensing Image Retrieval. - Huong Pham, Samuel Cheng, Tao Hu, Chengbin Deng:
Water Mapping and Change Detection Using Time Series Derived from the Continuous Monitoring of Land Disturbance Algorithm. - Zeyang Zheng, Arman Hosseini, Dong Chen, Omid Shoghli, Arsalan Heydarian:
Real-Time Roadway Obstacle Detection for Electric Scooters Using Deep Learning and Multi-Sensor Fusion. - Hongliang Zhang, Jiguo Yu, Fenghua Xu, Chunqiang Hu, Yongzhao Zhang, Xiaofen Wang, Zhongyuan Yu, Xiaosong Zhang:
PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks on Non-IID Data. - Abhishek Singhania, Christophe Dupuy, Shivam Mangale, Amani Namboori:
Multi-lingual Multi-turn Automated Red Teaming for LLMs. - Nikhil Shivakumar Nayak:
Mathematical Modeling of Option Pricing with an Extended Black-Scholes Framework. - Yuki Kawana, Tatsuya Harada:
Detection Based Part-level Articulated Object Reconstruction from Single RGBD Image. - Xinran Zhao, Lin Dai:
Throughput-Optimal Random Access: A Queueing-Theoretical Analysis for Learning-Based Access Design. - Shabnam Choudhury, Akhil Vasim, Michael Schmitt, Biplab Banerjee:
MIMRS: A Survey on Masked Image Modeling in Remote Sensing. - Yang He, Ruijie Fang, Isil Dillig, Yuepeng Wang:
Graphiti: Bridging Graph and Relational Database Queries. - Zhentian Zhang, Kai-Kit Wong, Jian Dang, Zaichen Zhang, Chan-Byoung Chae:
On Fundamental Limits for Fluid Antenna-assisted Integrated Sensing and Communications for Unsourced Random Access. - Prachi, Sumit Bhatia, Srikanta Bedathur:
Learning Sparse Disentangled Representations for Multimodal Exclusion Retrieval. - Jaymari Chua, Chen Wang, Lina Yao:
Learning Natural Language Constraints for Safe Reinforcement Learning of Language Agents. - Liam Harcombe, Timothy T. Duignan:
On the Connection Between Diffusion Models and Molecular Dynamics. - Kotaro Ikeda, Masanori Koyama, Jinzhe Zhang, Kohei Hayashi, Kenji Fukumizu:
Simultaneous Learning of Optimal Transports for Training All-to-All Flow-Based Condition Transfer Model. - Sandra Bergmann, Fabian Brand, Christian Riess:
Three Forensic Cues for JPEG AI Images. - Xin Zhang, Robby T. Tan:
Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation. - Jaewoo Park, Jungyang Park, Dongju Jang, Jiwan Chung, Byungwoo Yoo, Jaewoo Shin, Seonjoon Park, Taehyeong Kim, Youngjae Yu:
Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation. - Jiaxin Guo, Wenzhen Dong, Tianyu Huang, Hao Ding, Ziyi Wang, Haomin Kuang, Qi Dou, Yun-Hui Liu:
Endo3R: Unified Online Reconstruction from Dynamic Monocular Endoscopic Video. - Thomas Daniel, Malgorzata Olejniczak, Julien Tierny:
BondMatcher: H-Bond Stability Analysis in Molecular Systems. - Yanming Wan, Jiaxing Wu, Marwa Abdulhai, Lior Shani, Natasha Jaques:
Enhancing Personalized Multi-Turn Dialogue with Curiosity Reward. - Zelun Tony Zhang, Leon Reicherts:
Augmenting Human Cognition With Generative AI: Lessons From AI-Assisted Decision-Making. - Jinwei Liu, Wang Yao, Xiao Zhang:
PIONM: A Generalized Approach to Solving Density-Constrained Mean-Field Games Equilibrium under Modified Boundary Conditions. - Yiding Feng, Wei Tang:
Persuasive Calibration. - Bouarfa Mahi Quantiota:
Structured Knowledge Accumulation: The Principle of Entropic Least Action in Forward-Only Neural Learning. - Taylor Kearney, Ricardo Ruiz-Baier, Mark B. Flegg:
Accurate stochastic simulation of nonlinear reactions between closest particles. - Simrandeep Singh, Shreya Bansal, Abdulmotaleb El-Saddik, Mukesh Saini:
From ChatGPT to DeepSeek AI: A Comprehensive Analysis of Evolution, Deviation, and Future Implications in AI-Language Models. - Lifan Hu:
Learning Lie Group Generators from Trajectories. - Jungpil Shin, Abu Saleh Musa Miah, Sota Konnai, Shu Hoshitaka, Pankoo Kim:
Electromyography-Based Gesture Recognition: Hierarchical Feature Extraction for Enhanced Spatial-Temporal Dynamics. - Youngjae Jeon, Eunho Heo, Jinmo Lee, Taewon Uhm, Dongjin Lee:
A Robust Method for Fault Detection and Severity Estimation in Mechanical Vibration Data. - Yasmine Mustafa, Mohamed Elmahallawy, Tie Luo:
Unlocking Neural Transparency: Jacobian Maps for Explainable AI in Alzheimer's Detection. - Jason J. Choi, Christopher A. Strong, Koushil Sreenath, Namhoon Cho, Claire J. Tomlin:
Data-Driven Hamiltonian for Direct Construction of Safe Set from Trajectory Data. - Junjie Yang, Ke Lin, Xing Yu:
Think When You Need: Self-Adaptive Chain-of-Thought Learning. - Ibne Farabi Shihab, Anuj Sharma:
Crash Time Matters: HybridMamba for Fine-Grained Temporal Localization in Traffic Surveillance Footage. - Akis Nousias, Efklidis Katsaros, Evangelos Syrmos, Panagiotis I. Radoglou-Grammatikis, Thomas Lagkas, Vasileios Argyriou, Ioannis D. Moscholios, Evangelos K. Markakis, Sotirios K. Goudos, Panagiotis G. Sarigiannidis:
Malware Detection in Docker Containers: An Image is Worth a Thousand Logs. - Marius Graumann, Jan Marius Stürmer, Tobias Koch:
Rotation Invariance in Floor Plan Digitization using Zernike Moments. - Qinjiao Gao, Zuowei Wang, Ran Zhang, Dongjiang Wang:
Adaptive Movement Sampling Physics-Informed Residual Network (AM-PIRN) for Solving Nonlinear Option Pricing models. - Linfeng Zhao, Willie McClinton, Aidan Curtis, Nishanth Kumar, Tom Silver, Leslie Pack Kaelbling, Lawson L. S. Wong:
Seeing is Believing: Belief-Space Planning with Foundation Models as Uncertainty Estimators. - Piet Brömmel, Dominik Brämer, Oliver Urbann, Diana Kleingarn:
Robot Localization Using a Learned Keypoint Detector and Descriptor with a Floor Camera and a Feature Rich Industrial Floor. - Yu Kawano, Bart Besselink, Jacquelien M. A. Scherpen:
On Differential Controllability and Observability Functions. - Kailas Dayanandan, Brejesh Lall:
Improving Clinical Imaging Systems using Cognition based Approaches. - Yifan Li, Masaaki Fukumoto, Mohamed Kari, Shigemi Ishida, Akihito Noda, Tomoyuki Yokota, Takao Someya, Yoshihiro Kawahara, Ryo Takahashi:
Ultra-low-power ring-based wireless mouse. - Yimin Wei, Aoran Xiao, Yexian Ren, Yuting Zhu, Hongruixuan Chen, Junshi Xia, Naoto Yokoya:
SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding. - Garry A. Gabison, R. Patrick Xian:
Inherent and emergent liability issues in LLM-based agentic systems: a principal-agent perspective. - Sebastian Gasche, Christian Kallies, Andreas Himmel, Rolf Findeisen:
A Modular Energy Aware Framework for Multicopter Modeling in Control and Planning Applications. - Tommaso Buvoli, Brian K. Tran, Ben S. Southworth:
Multirate Runge-Kutta for Nonlinearly Partitioned Systems. - Shuxiao Ding, Yutong Yang, Julian Wiederer, Markus Braun, Peizheng Li, Juergen Gall, Bin Yang:
TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking. - Kennedy E. Ehimwenma, Hongyu Zhou, Junfeng Wang, Ze Zheng:
An Extended Symbolic-Arithmetic Model for Teaching Double-Black Removal with Rotation in Red-Black Trees. - Ze Zhang, Yifan Xue, Nadia Figueroa, Knut Åkesson:
Gradient Field-Based Dynamic Window Approach for Collision Avoidance in Complex Environments. - Anupam Chattopadhyay, Debjyoti Bhattacharjee, Subhamoy Maitra:
Linear Decomposition of the Majority Boolean Function using the Ones on Smaller Variables. - Joppe De Jonghe, Mariya Ishteva:
Non-parametric B-spline decoupling of multivariate functions. - Sebastian Gasche, Christian Kallies, Andreas Himmel, Rolf Findeisen:
Energy Aware and Safe Path Planning for Unmanned Aircraft Systems. - Enguerrand Prebet, Samuel Teuber, André Platzer:
Verification of Autonomous Neural Car Control with KeYmaera X. - Maik Larooij, Petter Törnberg:
Do Large Language Models Solve the Problems of Agent-Based Modeling? A Critical Review of Generative Social Simulations. - Tristan Cazenave, Benjamin Négrevergne, Florian Sikora:
Monte Carlo Graph Coloring. - Qichen Wang, Bingnan Chen, Binyang Dai, Ke Yi, Feifei Li, Liang Lin:
Yannakakis+: Practical Acyclic Query Evaluation with Theoretical Guarantees. - Oliver Schumann, Michael Buchholz, Klaus Dietmayer:
Dynamic Objective MPC for Motion Planning of Seamless Docking Maneuvers. - Kilian Sprenkamp, Nils Messerschmidt, Amir Sartipi, Igor Tchappi, Xiaohui Wu, Liudmila Zavolokina, Gilbert Fridgen:
Towards Effective EU E-Participation: The Development of AskThePublic. - Lin yueyu, Liu Xiao:
RWKVTTS: Yet another TTS based on RWKV-7. - Gia-Nghia Tran, Quang-Huy Che, Trong-Tai Dam Vu, Bich-Nga Pham, Vinh-Tiep Nguyen, Trung-Nghia Le, Minh-Triet Tran:
FaR: Enhancing Multi-Concept Text-to-Image Diffusion via Concept Fusion and Localized Refinement. - Shuqi Wang, Yue Gao, Xiang Yin:
Learning-Based Conformal Tube MPC for Safe Control in Interactive Multi-Agent Systems. - Bingqian Wang, Quan Fang, Jiachen Sun, Xiaoxiao Ma:
Stance-Driven Multimodal Controlled Statement Generation: New Dataset and Task. - Dongjun Wu, Guilherme Perticarari, Thierry Baasch:
Controllability Analysis of Multi-Modal Acoustic Particle Manipulation in One-Dimensional Standing Waves. - Markus Langer, Veronika Lazar, Kevin Baum:
How to Test for Compliance with Human Oversight Requirements in AI Regulation? - Afshin Khadangi, Amir Sartipi, Igor Tchappi, Ramin Bahmani:
Noise Augmented Fine Tuning for Mitigating Hallucinations in Large Language Models. - Mathis Kruse, Bodo Rosenhahn:
Multi-Flow: Multi-View-Enriched Normalizing Flows for Industrial Anomaly Detection. - Luís Couto Seller, Íñigo Sanz Torres, Adrian Vogel-Fernandez, Carlos González Carballo, Pedro Miguel Sánchez Sánchez, Adrián Carruana Martín, Enrique De Miguel Ambite:
Evaluating Compact LLMs for Zero-Shot Iberian Language Tasks on End-User Devices. - Bram de Wilde, Max T. Rietberg, Guillaume P. R. Lajoinie, Jelmer M. Wolterink:
Steerable Anatomical Shape Synthesis with Implicit Neural Representations. - Neil Thapen:
On the consistency of stronger lower bounds for NEXP. - Omar Amri, Carla Seatzu, Alessandro Giua, Dimitri Lefebvre:
Probabilistic State Estimation of Timed Probabilistic Discrete Event Systems via Artificial Neural Networks [Draft Version]. - Makoto Takamoto, Daniel Oñoro-Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis:
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction. - Shuang Wu:
Policy Optimization Algorithms in a Unified Framework. - Christina Halmich, Lucas Höschler, Christoph Schranz, Christian Borgelt:
Data Augmentation of Time-Series Data in Human Movement Biomechanics: A Scoping Review. - Eline de Jong:
Ethics Readiness of Technology: The case for aligning ethical approaches with technological maturity. - Quanxing Xu, Ling Zhou, Xian Zhong, Feifei Zhang, Rubing Huang, Chia-Wen Lin:
QIRL: Boosting Visual Question Answering via Optimized Question-Image Relation Learning. - Zebulon Goriely, Paula Buttery:
BabyLM's First Words: Word Segmentation as a Phonological Probing Task. - Guide Yang, Chao Hou, Weilong Peng, Xiang Fang, Yongwei Nie, Peican Zhu, Keke Tang:
EOOD: Entropy-based Out-of-distribution Detection. - Lars Krupp, Daniel Geißler, Peter Hevesi, Marco Hirsch, Paul Lukowicz, Jakob Karolus:
Talk2X - An Open-Source Toolkit Facilitating Deployment of LLM-Powered Chatbots on the Web. - Weizhu Bao, Chushan Wang:
Error estimates of an exponential wave integrator for the nonlinear Schrödinger equation with singular potential. - Mohamad Hachem, Adam Lanfranchi, Nathan L. Clarke, Joakim Kävrestad:
Optimizing Password Cracking for Digital Investigations. - Denis Coquenet:
Meta-DAN: towards an efficient prediction strategy for page-level handwritten text recognition. - Kaustubh Shivshankar Shejole, Pushpak Bhattacharyya:
Detecting Stereotypes and Anti-stereotypes the Correct Way Using Social Psychological Underpinnings. - Kentaro Nomura, Tatsuya Aoki, Tadahiro Taniguchi, Takato Horii:
Decentralized Collective World Model for Emergent Communication and Coordination. - Michael Dinitz, Chenglin Fan, Jingcheng Liu, Jalaj Upadhyay, Zongrui Zou:
A Generalized Binary Tree Mechanism for Differentially Private Approximation of All-Pair Distances. - Xin Na, Xiuzhen Guo, Zihao Yu, Jia Zhang, Yuan He, Yunhao Liu:
Leggiero: Analog WiFi Backscatter with Payload Transparency. - Samuel Bilson, Maurice Cox, Anna Pustogvar, Andrew Thompson:
A metrological framework for uncertainty evaluation in machine learning classification models. - Erik Johannes Husom, Arda Goknil, Merve Astekin, Lwin Khin Shar, Andre Kåsen, Sagar Sen, Benedikt Andreas Mithassel, Ahmet Soylu:
Sustainable LLM Inference for Edge AI: Evaluating Quantized LLMs for Energy Efficiency, Output Accuracy, and Inference Latency. - Xudong Li, Rugui Yao, Alexandros-Apostolos A. Boulogeorgos, Theodoros A. Tsiftsis:
Fairness vs. Equality: RSMA-Based Multi-Target and Multi-User Integrated Sensing and Communications. - Xenia Hofmeier, David A. Basin, Ralf Sasse, Jorge Toro-Pozo:
SoK: Attacks on Modern Card Payments. - Chen Hu, Enrica Tricomi, Eojin Rho, Daekyum Kim, Lorenzo Masia, Shan Luo, Letizia Gionfrida:
Point Cloud-based Grasping for Soft Hand Exoskeleton. - Mehmet Basaran, Frederik Rogiers, Martine Baelmans, Maarten Blommaert:
Optimal Sizing and Material Choice for Additively Manufactured Compact Plate Heat Exchangers. - Zirui Lin, Masayuki Takigahira, Naoya Terakado, Haris Gulzar, Monikka Roslianna Busto, Takeharu Eda, Katsutoshi Itoyama, Kazuhiro Nakadai, Hideharu Amano:
An Efficient GPU-based Implementation for Noise Robust Sound Source Localization. - Euijun Jung, Youngki Lee:
Virtualizing a Collaboration Task as an Interactable Environment and Installing it on Real World. - Edern Le Bot, Rémi Giraud, Boris Mansencal, Thomas Tourdias, José V. Manjón, Pierrick Coupé:
FLAIRBrainSeg: Fine-grained brain segmentation using FLAIR MRI only. - Chen Hu, Timothy Neate, Shan Luo, Letizia Gionfrida:
MultiClear: Multimodal Soft Exoskeleton Glove for Transparent Object Grasping Assistance. - Sanghwan Bae, Jiwoo Hong, Min Young Lee, Hanbyul Kim, JeongYeon Nam, Donghyun Kwak:
Online Difficulty Filtering for Reasoning Oriented Reinforcement Learning. - Claudius Krause, Daohan Wang, Ramon Winterhalder:
BitHEP - The Limits of Low-Precision ML in HEP. - Anne Poot, Iuri Rocha, Pierre Kerfriden, Frans van der Meer:
Effects of Interpolation Error and Bias on the Random Mesh Finite Element Method for Inverse Problems. - Nicola Cotumaccio:
Improved Circular Dictionary Matching. - Aashi Shrinate, Twinkle Tripathy:
Leveraging Network Topology in a Two-way Competition for Influence in the Friedkin-Johnsen Model. - Daobo Zhang, Josef Kiendl:
A variationally consistent membrane wrinkling model based on spectral decomposition of the stress tensor. - Sören Bartels, Klaus Deckelnick, Dominik Schneider:
Quasi-optimal error estimate for the approximation of the elastic flow of inextensible curves. - Xiaoyu Chen, Zejia Chen, Zongchen Chen, Yitong Yin, Xinyuan Zhang:
Rapid Mixing on Random Regular Graphs beyond Uniqueness. - Malik Scheifinger, Kurt Busch, Marlis Hochbruck, Caroline Lasser:
Time-integration of Gaussian variational approximation for the magnetic Schrödinger equation. - Alex Bespalov, Raphaël Bulle:
An adaptive multimesh rational approximation scheme for the spectral fractional Laplacian. - Xin Na, Jia Zhang, Jiacheng Zhang, Xiuzhen Guo, Yang Zou, Meng Jin, Yimiao Sun, Yunhao Liu, Yuan He:
QuinID: Enabling FDMA-Based Fully Parallel RFID with Frequency-Selective Antenna. - Zhe Wang, Yifei Zhu:
NeRFlex: Resource-aware Real-time High-quality Rendering of Complex Scenes on Mobile Devices. - Anthony Couthures, Anastasia S. Bizyaeva, Vineeth S. Varma, Alessio Franci, Irinel-Constantin Morarescu:
Bifurcation analysis of an opinion dynamics model coupled with an environmental dynamics. - Gianluca Maselli, Vieri Giuliano Santucci:
Autonomous state-space segmentation for Deep-RL sparse reward scenarios. - Sarah Eberle-Blick:
Shape reconstruction of inclusions based on noisy data via monotonicity methods for the time harmonic elastic wave equation. - Sathish Kumar, Swaroop Damodaran, Naveen Kumar Kuruba, Sumit Jha, Arvind Ramanathan:
DML-RAM: Deep Multimodal Learning Framework for Robotic Arm Manipulation using Pre-trained Models. - Alexander Mattick, Maniraman Periyasamy, Christian Ufrecht, Abhishek Y. Dubey, Christopher Mutschler, Axel Plinge, Daniel D. Scherer:
Optimizing Quantum Circuits via ZX Diagrams using Reinforcement Learning and Graph Neural Networks. - Batuhan Özyurt, Roya Arkhmammadova, Deniz Yuret:
Locations of Characters in Narratives: Andersen and Persuasion Datasets. - Maarten Blommaert, Arthur Vangeffelen, Mehmet Basaran, Geert Buckinx, Martine Baelmans:
A Unit-Cell Shape Optimization Approach for Maximizing Heat Transfer in Periodic Fin Arrays at Constant Solid Temperature. - Sheng Yang, Tong Zhan, Shichen Qiao, Jicheng Gong, Qing Yang, Jian Wang, Yanfeng Lu:
ZFusion: An Effective Fuser of Camera and 4D Radar for 3D Object Perception in Autonomous Driving. - Mirko Borszukovszki, Ivo Pascal de Jong, Matias Valdenegro-Toro:
Know What You do Not Know: Verbalized Uncertainty Estimation Robustness on Corrupted Images in Vision-Language Models. - Nasar Iqbal, Niki Martinel:
Pyramid-based Mamba Multi-class Unsupervised Anomaly Detection. - Botao Zhu, Chen Chen, Xiaoyi Fan, Yifei Zhu:
LLMSched: Uncertainty-Aware Workload Scheduling for Compound LLM Applications. - Irena Radisic, Francesco Regazzoni, Michele Bucelli, Stefano Pagani, Luca Dede', Alfio Quarteroni:
Influence of cellular mechano-calcium feedback in numerical models of cardiac electromechanics. - Michele Botti, Lorenzo Mascotto:
Sobolev-Poincaré inequalities for piecewise W1,p functions over general polytopic meshes. - Van-Anh Nguyen, Thanh-Toan Do, Mehrtash Harandi, Dinh Q. Phung, Trung Le:
Optimizing Specific and Shared Parameters for Efficient Parameter Tuning. - Qingcai Jiang, Buxin Tu, Xiaoyu Hao, Junshi Chen, Hong An:
NDFT: Accelerating Density Functional Theory Calculations via Hardware/Software Co-Design on Near-Data Computing System. - William Fleshman, Benjamin Van Durme:
SpectR: Dynamically Composing LM Experts with Spectral Routing. - Katja Krug, Wolfgang Büschel, Mats Ole Ellenberg:
Managing Information Overload in Large-Scale Distributed Mixed-Reality Meetings. - Antoine Dumoulin, Adnane Boukhayma, Laurence Boissieux, Bharath Bhushan Damodaran, Pierre Hellier, Stefanie Wuhrer:
D-Garment: Physics-Conditioned Latent Diffusion for Dynamic Garment Deformations. - Xi Wang, Ziqi He, Yang Zhou:
Dynamic Importance in Diffusion U-Net for Enhanced Image Synthesis. - Seyedeh Sahar Taheri Otaghsara, Reza Rahmanzadeh:
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining. - Sheng Lian, Dengfeng Pan, Jianlong Cai, Guang-Yong Chen, Zhun Zhong, Zhiming Luo, Shen Zhao, Shuo Li:
ATM-Net: Anatomy-Aware Text-Guided Multi-Modal Fusion for Fine-Grained Lumbar Spine Segmentation. - Gérard Memmi:
Home Spaces and Semiflows for the Analysis of Parameterized Petri Nets. - Spyros Kondylatos, Nikolaos-Ioannis Bountos, Ioannis Prapas, Angelos Zavras, Gustau Camps-Valls, Ioannis Papoutsis:
Probabilistic Machine Learning for Noisy Labels in Earth Observation. - Dennis Bogatov Wilkman, Kateryna Morozovska, Karl Henrik Johansson, Matthieu Barreau:
Online Traffic Density Estimation using Physics-Informed Neural Networks. - Federica Bragone, Kateryna Morozovska, Tor Laneryd, Khemraj Shukla, Stefano Markidis:
Discovering Partially Known Ordinary Differential Equations: a Case Study on the Chemical Kinetics of Cellulose Degradation. - John Paisley, Wei Zhang, Brian Barr:
Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching. - Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Ajay Varghese Thomas, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya:
Structured Legal Document Generation in India: A Model-Agnostic Wrapper Approach with VidhikDastaavej. - Zihao He, Shengchuan Zhang, Runze Hu, Yunhang Shen, Yan Zhang:
BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution. - Luis Barba, Johannes Kirschner, Tomas Aidukas, Manuel Guizar-Sicairos, Benjamín Béjar:
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography. - Alexander Windmann, Henrik Sebastian Steude, Daniel Boschmann, Oliver Niggemann:
Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems. - Noah Abou El Wafa, André Platzer:
Complete First-Order Game Logic. - Alex Young, Luan Vinícius Fiorio, Bo Yang, Boris Karanov, Wim J. van Houtum, Ronald M. Aarts:
Hybrid Real- and Complex-valued Neural Network Architecture. - George Iosifidis, Naram Mhaisen, Douglas J. Leith:
Optimistic Learning for Communication Networks. - Yongliang Wang, Hamidreza Kasaei:
Learning Dual-Arm Coordination for Grasping Large Flat Objects. - Ilan Naiman, Emanuel Ben Baruch, Oron Anschel, Alon Shoshan, Igor Kviatkovsky, Manoj Aggarwal, Gérard G. Medioni:
LV-MAE: Learning Long Video Representations through Masked-Embedding Autoencoders. - Wai Fong Tam, Qilei Li, Ahmed M. Abdelmonie:
Hierarchical Knowledge Structuring for Effective Federated Learning in Heterogeneous Environments. - Tan Shu, Li Shen:
FADConv: A Frequency-Aware Dynamic Convolution for Farmland Non-agriculturalization Identification and Segmentation. - Shaofeng H.-C. Jiang, Yaonan Jin, Jianing Lou, Pinyan Lu:
Local Search for Clustering in Almost-linear Time. - Shan An, Ziyu Meng, Chao Tang, Yuning Zhou, Tengyu Liu, Fangqiang Ding, Shufang Zhang, Yao Mu, Ran Song, Wei Zhang, Zeng-Guang Hou, Hong Zhang:
Dexterous Manipulation through Imitation Learning: A Survey. - Benjamin Bordais, Daniel Neider:
A framework for computing upper bounds in passive learning settings. - Chen Wei Kuo, Kevin Chu, Nouar AlDahoul, Hazem Ibrahim, Talal Rahwan, Yasir Zaki:
Neutralizing the Narrative: AI-Powered Debiasing of Online News Articles. - Lucas Cammann, Johannes Jäschke:
State estimation for gas purity monitoring and control in water electrolysis systems. - Anuj Dawar, Bálint Molnár:
Undefinability of Approximation of 2-to-2 Games. - Gianluca Monaci, Rafael S. Rezende, Romain Deffayet, Gabriela Csurka, Guillaume Bono, Hervé Déjean, Stéphane Clinchant, Christian Wolf:
RANa: Retrieval-Augmented Navigation. - Brian Neal Granzow, Stephen D. Bond, Michael J. Powell, Daniel A. Ibanez:
An Efficient Second-Order Adaptive Procedure for Inserting CAD Geometries into Hexahedral Meshes using Volume Fractions. - Md. Abu Obaida Zishan, H. M. Shihab, Sabik Sadman Islam, Maliha Alam Riya, Gazi Mashrur Rahman, Jannatun Noor:
Dense Neural Network Based Arrhythmia Classification on Low-cost and Low-compute Micro-controller. - Boyuan Wang, Runqi Ouyang, Xiaofeng Wang, Zheng Zhu, Guosheng Zhao, Chaojun Ni, Guan Huang, Lihong Liu, Xingang Wang:
HumanDreamer-X: Photorealistic Single-image Human Avatars Reconstruction via Gaussian Restoration. - Sophie Hall, Florian Dörfler, Heinrich H. Nax, Saverio Bolognani:
The Limits of "Fairness" of the Variational Generalized Nash Equilibrium. - Mayank Kothyari, Sunita Sarawagi, Soumen Chakrabarti, Gaurav Arora, Srujana Merugu:
Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing. - Khai Le-Duc, Tuyen Tran, Bach Phan Tat, Nguyen Kim Hai Bui, Quan Dang, Hung-Phong Tran, Thanh-Thuy Nguyen, Ly Nguyen, Tuan-Minh Phan, Thi Thu Phuong Tran, Chris Ngo, Nguyen X. Khanh, Thanh Nguyen-Tang:
MultiMed-ST: Large-scale Many-to-many Multilingual Medical Speech Translation. - Shuofei Qiao, Zhisong Qiu, Baochang Ren, Xiaobin Wang, Xiangyuan Ru, Ningyu Zhang, Xiang Chen, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
Agentic Knowledgeable Self-awareness. - Therese Biedl, Éric Colin de Verdière, Fabrizio Frati, Anna Lubiw, Günter Rote:
Finding a Shortest Curve that Separates Few Objects from Many. - Runnan Fang, Xiaobin Wang, Yuan Liang, Shuofei Qiao, Jialong Wu, Zekun Xi, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen:
SynWorld: Virtual Scenario Synthesis for Agentic Action Knowledge Refinement. - Kaidong Li, Tianxiao Zhang, Kuan-Chuan Peng, Guanghui Wang:
PF3Det: A Prompted Foundation Feature Assisted Visual LiDAR 3D Detector. - Luca Giangrande:
Lambda/6 Suspended Patch Antenna. - Boyang Xia, David Moxey:
Unified interface flux evaluation in a general discontinuous Galerkin spectral element framework. - Shuaifeng Zhang:
Heterogeneous Resource Allocation for Ensuring End-to-End Quality of Service in Multi-hop Integrated Access and Backhaul Network. - Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian:
Hallucination Detection on a Budget: Efficient Bayesian Estimation of Semantic Entropy. - Benjamin Brown, Haoxiang Zhang, Daniel L. Lau, Gonzalo R. Arce:
Scalable Hypergraph Structure Learning with Diverse Smoothness Priors. - Konstantinos Antonakoglou, Ioannis Mavromatis, Saptarshi Ghosh, Mark Rouse, Konstantinos Katsaros:
CAMINO: Cloud-native Autonomous Management and Intent-based Orchestrator. - Niu Lian, Jun Li, Jinpeng Wang, Ruisheng Luo, Yaowei Wang, Shu-Tao Xia, Bin Chen:
AutoSSVH: Exploring Automated Frame Sampling for Efficient Self-Supervised Video Hashing. - Orestis Alpos, Bernardo David, Nikolas Kamarinakis, Dionysis Zindros:
An overview of the efficiency and censorship-resistance guarantees of widely-used consensus protocols. - Francesco Di Cosmo, Soumodev Mal, Tephilla Prince:
A Lower Bound on Conservative Elementary Object Systems Coverability. - Fabio Lilliu, Amir Laadhar, Christian Thomsen, Diego Reforgiato Recupero, Torben Bach Pedersen:
Extending the SAREF4ENER Ontology with Flexibility Based on FlexOffers. - Jad Abou-Chakra, Lingfeng Sun, Krishan Rana, Brandon B. May, Karl Schmeckpeper, Maria Vittoria Minniti, Laura Herlant:
Real-is-Sim: Bridging the Sim-to-Real Gap with a Dynamic Digital Twin for Real-World Robot Policy Evaluation. - Peter Baile Chen, Tomer Wolfson, Michael J. Cafarella, Dan Roth:
EnrichIndex: Using LLMs to Enrich Retrieval Indices Offline. - Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong:
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay. - Kai Lascheit, Daniel Barath, Marc Pollefeys, Leonidas J. Guibas, Francis Engelmann:
Robust Human Registration with Body Part Segmentation on Noisy Point Clouds. - Xianyuan Liu, Jiayang Zhang, Shuo Zhou, Thijs L. van der Plas, Avish Vijayaraghavan, Anastasiia Grishina, Mengdie Zhuang, Daniel Schofield, Christopher Tomlinson, Yuhan Wang, Ruizhe Li, Louisa van Zeeland, Sina Tabakhi, Cyndie Demeocq, Xiang Li, Arunav Das, Orlando Timmerman, Thomas Baldwin-McDonald, Jinge Wu, Peizhen Bai, Zahraa Al Sahili, Omnia Alwazzan, Thao N. Do, Mohammod Naimul Islam Suvon, Angeline Wang, Lucia Cipolina-Kun, Luigi A. Moretti, Lucas Farndale, Nitisha Jain, Natalia Efremova, Yan Ge, Marta Varela, Hak-Keung Lam, Oya Çeliktutan, Ben R. Evans, Alejandro Coca-Castro, Honghan Wu, Zahraa S. Abdallah, Chen Chen, Valentin Danchev, Nataliya Tkachenko, Lei Lu, Tingting Zhu, Gregory G. Slabaugh, Roger K. Moore, William K. Cheung, Peter H. Charlton, Haiping Lu:
Towards deployment-centric multimodal AI beyond vision and language. - Sudatta Bhattacharya, Sanjana Dey, Elazar Goldenberg, Mursalin Habib, Bernhard Haeupler, Karthik C. S., Michal Koucký:
Constant Rate Isometric Embeddings of Hamming Metric into Edit Metric. - Yuyang Hu, Suhas Lohit, Ulugbek S. Kamilov, Tim K. Marks:
Multimodal Diffusion Bridge with Attention-Based SAR Fusion for Satellite Image Cloud Removal. - Will Thacher, Per-Olof Persson, Yulong Pan:
Optimization of a Triangular Delaunay Mesh Generator using Reinforcement Learning. - Bingxiang He, Wenbin Zhang, Jiaxi Song, Cheng Qian, Zixuan Fu, Bowen Sun, Ning Ding, Haiwen Hong, Longtao Huang, Hui Xue, Ganqu Cui, Wanxiang Che, Zhiyuan Liu, Maosong Sun:
AIR: A Systematic Analysis of Annotations, Instructions, and Response Pairs in Preference Dataset. - Aref Azizpour, Tai D. Nguyen, Matthew C. Stamm:
Autonomous and Self-Adapting System for Synthetic Media Detection and Attribution. - Leonardo Ranaldi, Barry Haddow, Alexandra Birch:
Multilingual Retrieval-Augmented Generation for Knowledge-Intensive Task. - Farzad Pourbabaee, Sophie Yanying Sheng, Peter McCrory, Luke Simon, Di Mo:
Trading off Relevance and Revenue in the Jobs Marketplace: Estimation, Optimization and Auction Design. - Laziz Hamdi, Amine Tamasna, Pascal Boisson, Thierry Paquet:
VISTA-OCR: Towards generative and interactive end to end OCR models. - Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang:
Align to Structure: Aligning Large Language Models with Structural Information. - Ciaran Bench, Spencer A. Thomas:
Quantifying the uncertainty of model-based synthetic image quality metrics. - Aaron Blakeman, Aarti Basant, Abhinav Khattar, Adithya Renduchintala, Akhiad Bercovich, Aleksander Ficek, Alexis Bjorlin, Ali Taghibakhshi, Amala Sanjay Deshmukh, Ameya Sunil Mahabaleshwarkar, Andrew Tao, Anna Shors, Ashwath Aithal, Ashwin Poojary, Ayush Dattagupta, Balaram Buddharaju, Bobby Chen, Boris Ginsburg, Boxin Wang, Brandon Norick, Brian Butterfield, Bryan Catanzaro, Carlo del Mundo, Chengyu Dong, Christine Harvey, Christopher Parisien, Dan Su, Daniel Korzekwa, Danny Yin, Daria Gitman, David Mosallanezhad, Deepak Narayanan, Denys Fridman, Dima Rekesh, Ding Ma, Dmytro Pykhtar, Dong Ahn, Duncan Riach, Dusan Stosic, Eileen Long, Elad Segal, Ellie Evans, Eric Chung, Erick Galinkin, Evelina Bakhturina, Ewa Dobrowolska, Fei Jia, Fuxiao Liu, Gargi Prasad, Gerald Shen, Guilin Liu, Guo Chen, Haifeng Qian, Helen Ngo, Hongbin Liu, Hui Li, Igor Gitman, Ilia Karmanov, Ivan Moshkov, Izik Golan, Jan Kautz, Jane Polak Scowcroft, Jared Casper, Jarno Seppänen, Jason Lu, Jason Sewall, Jiaqi Zeng, Jiaxuan You, Jimmy Zhang, Jing Zhang, Jining Huang, Jinze Xue, Jocelyn Huang, Joey Conway, John Kamalu, Jon Barker, Jonathan M. Cohen, Joseph Jennings, Jupinder Parmar, Karan Sapra, Kari Briski, Kateryna Chumachenko, Katherine Luna, Keshav Santhanam, Kezhi Kong, Kirthi Sivamani, Krzysztof Pawelec, Kumar Anik, Kunlun Li, Lawrence McAfee, Leon Derczynski, Lindsey Pavao, Luis Vega, Lukas Voegtle, Maciej Bala, Maer Rodrigues de Melo, Makesh Narsimhan Sreedhar, Marcin Chochowski, Markus Kliegl:
Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models. - Ryan Dempsey, Jonathan Ethier, Halim Yanikomeroglu:
Reciprocity-Aware Convolutional Neural Networks for Map-Based Path Loss Prediction. - Dmitry I. Kabanov, Stephan Rave, Mario Ohlberger:
Improving Interoperability in Scientific Computing via MaRDI Open Interfaces. - Cody Simons, Aritra Samanta, Amit K. Roy-Chowdhury, Konstantinos Karydis:
SeGuE: Semantic Guided Exploration for Mobile Robots. - Huda Ibeid, Vikram Narayana, Jeongnim Kim, Anthony Nguyen, Vitali Morozov, Ye Luo:
Performance Analysis of HPC applications on the Aurora Supercomputer: Exploring the Impact of HBM-Enabled Intel Xeon Max CPUs. - Maria Parajeles Herrera, Gabriela Hug:
Modeling Charging Demand and Quantifying Flexibility Bounds for Large-Scale BEV Fleets. - Xinyi Wang, Shawn Tan, Mingyu Jin, William Yang Wang, Rameswar Panda, Yikang Shen:
Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning. - Federica Arrigoni, Kathlén Kohn, Andrea Fusiello, Tomás Pajdla:
An Algebraic Geometry Approach to Viewing Graph Solvability. - Ting-Hsuan Liao, Yi Zhou, Yu Shen, Chun-Hao Paul Huang, Saayan Mitra, Jia-Bin Huang, Uttaran Bhattacharya:
Shape My Moves: Text-Driven Shape-Aware Synthesis of Human Motions. - Kate Sanders, Benjamin Van Durme:
Bonsai: Interpretable Tree-Adaptive Grounded Reasoning. - Wulin Xie, Yi-Fan Zhang, Chaoyou Fu, Yang Shi, Bingyan Nie, Hongkai Chen, Zhang Zhang, Liang Wang, Tieniu Tan:
MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models. - Temitayo Adefemi:
What Every Computer Scientist Needs To Know About Parallelization. - Jiaxin Shan, Varun Gupta, Le Xu, Haiyang Shi, Jingyuan Zhang, Ning Wang, Linhui Xu, Rong Kang, Tongping Liu, Yifei Zhang, Yiqing Zhu, Shuowei Jin, Gangmuk Lim, Binbin Chen, Zuzhi Chen, Xiao Liu, Xin Chen, Kante Yin, Chak-Pong Chung, Chenyu Jiang, Yicheng Lu, Jianjun Chen, Caixue Lin, Wu Xiang, Rui Shi, Liguang Xie:
AIBrix: Towards Scalable, Cost-Effective Large Language Model Inference Infrastructure. - Samy Jad, Xavier Desforges, Pierre-Yves Villard, Christian Caussidéry, Kamal Medjaher:
Diagnostic Method for Hydropower Plant Condition-based Maintenance combining Autoencoder with Clustering Algorithms. - Sarthak Das:
BoxRL-NNV: Boxed Refinement of Latin Hypercube Samples for Neural Network Verification. - Zhibin Wang, Shipeng Li, Xue Li, Yuhang Zhou, Zhonghui Zhang, Zibo Wang, Rong Gu, Chen Tian, Kun Yang, Sheng Zhong:
Echo: Efficient Co-Scheduling of Hybrid Online-Offline Tasks for Large Language Model Serving. - Priyank Vaidya, Vedansh Kamdar:
A Modern Approach to Real-Time Air Traffic Management System. - Nathan Tibbetts, Sifat Ibtisum, Satish Puri:
A Survey on Heterogeneous Computing Using SmartNICs and Emerging Data Processing Units (Expanded Preprint). - Keondo Park, You Rim Choi, Inhoe Lee, Hyung-Sin Kim:
PointSplit: Towards On-device 3D Object Detection with Heterogeneous Low-power Accelerators. - Jiangtao Wang, Jan Ebert, Oleg Filatov, Stefan Kesselheim:
Memory and Bandwidth are All You Need for Fully Sharded Data Parallel. - Diyaz Yakubov, David Hästbacka:
Comparative Analysis of Lightweight Kubernetes Distributions for Edge Computing: Performance and Resource Efficiency. - Alexander Strack, Dirk Pflüger:
A HPX Communication Benchmark: Distributed FFT using Collectives. - Andrew Mary Huet de Barochez, Stéphan Plassart, Sébastien Monnet:
Falafels: A tool for Estimating Federated Learning Energy Consumption via Discrete Simulation. - Zongwu Wang, Peng Xu, Fangxin Liu, Yiwei Hu, Qingxiao Sun, Gezi Li, Cheng Li, Xuan Wang, Li Jiang, Haibing Guan:
MILLION: Mastering Long-Context LLM Inference Via Outlier-Immunized KV Product Quantization. - Esmail Gumaan:
Galvatron: Automatic Distributed Training for Large Transformer Models. - Scott C. Evans, Nathan Dahlin, Ibrahima Ndiaye, Sachini Piyoni Ekanayake, Alexander Duncan, Blake Rose, Hao Huang:
Sustainable Grid through Distributed Data Centers: Spinning AI Demand for Grid Stabilization and Optimization. - Yangyijian Liu, Jun Li, Wu-Jun Li:
PIPO: Pipelined Offloading for Efficient Inference on Consumer Devices. - Noujoud Nader, Patrick Diehl, Steven R. Brandt, Hartmut Kaiser:
LLM & HPC:Benchmarking DeepSeek's Performance in High-Performance Computing Tasks. - Boyang Song:
High-Performance Parallelization of Dijkstra's Algorithm Using MPI and CUDA. - Fernando Koch, Aladin Djuhera, Alecio Binotto:
Adaptive Orchestration for Inference of Large Foundation Models at the Edge. - Caicheng Wang, Zili Wang, Shuyou Zhang, Yongzhe Xiang, Zheyi Li, Jianrong Tan:
Self-Learning-Based Optimization for Free-form Pipe Routing in Aeroengine with Dynamic Design Environment. - Amir Hossein Baradaran:
Predictive Maintenance of Electric Motors Using Supervised Learning Models: A Comparative Analysis. - Gwenevere Frank, Gopabandhu Hota, Keli Wang, Abhinav Uppal, Omowuyi Olajide, Kenneth Yoshimoto, Leif Gibb, Qingbo Wang, Johannes Leugering, Stephen R. Deiss, Gert Cauwenberghs:
HiAER-Spike: Hardware-Software Co-Design for Large-Scale Reconfigurable Event-Driven Neuromorphic Computing. - Sergio Mazzola, Yichao Zhang, Marco Bertuletti, Diyou Shen, Luca Benini:
MemPool Flavors: Between Versatility and Specialization in a RISC-V Manycore Cluster. - Victor J. B. Jung, Alessio Burrello, Francesco Conti, Luca Benini:
Fused-Tiled Layers: Minimizing Data Movement on RISC-V SoCs with Software-Managed Caches. - Cyril Koenig, Enrico Zelioli, Frank K. Gürkaynak, Luca Benini:
Work-In-Progress: Accelerating Numpy With OpenBLAS For Open-Source RISC-V Chips. - Carlos Rafael Tordoya Taquichiri, Hans Dermot Doran, Pablo Ghiglino, Mandar Harshe:
Achieving Dependability of AI Execution with Radiation Hardened Processors. - Yuqing Wang, Xiao Yang:
Intelligent Resource Allocation Optimization for Cloud Computing via Machine Learning. - Solomon Bekele, Aurelio Vivas, Thomas Applencourt, Servesh Muralidharan, Bryce Allen, Kazutomo Yoshii, Swann Perarnau, Brice Videau:
THAPI: Tracing Heterogeneous APIs. - Zhanwei Wang, Qunsong Zeng, Haotian Zheng, Kaibin Huang:
Revisiting Outage for Edge Inference Systems. - Shuli Zeng, Mengjie Zhou, Sijia Zhang, Yixiang Hu, Feng Wu, Xiangyang Li:
CLCR: Contrastive Learning-based Constraint Reordering for Efficient MILP Solving. - Selim F. Yilmaz, Can Karamanli, Deniz Gündüz:
Learning to Interfere in Non-Orthogonal Multiple-Access Joint Source-Channel Coding. - Azmine Toushik Wasi, Mahfuz Ahmed Anik, Abdur Rahman, Md. Iqramul Hoque, Md Shafikul Islam, Md. Manjurul Ahsan:
A Theoretical Framework for Graph-based Digital Twins for Supply Chain Management and Optimization. - Hoang Vu, Nataliia Klievtsova, Henrik Leopold, Stefanie Rinderle-Ma, Timotheus Kampik:
Agentic Business Process Management: The Past 30 Years And Practitioners' Future Perspectives. - Peter Arzt, Sebastian Kreutzer, Tim Jammer, Christian H. Bischof:
cfdSCOPE: A Fluid-Dynamics Proxy App for Teaching Performance Engineering. - Narges Mehran, Nikolay Nikolov, Radu Prodan, Dumitru Roman, Dragi Kimovski, Frank Pallas, Peter Dorfinger:
ADApt: Edge Device Anomaly Detection and Microservice Replica Prediction. - Ying-Jung Chen, Ahmad Albarqawi, Chi-Sheng Chen:
Reinforcing Clinical Decision Support through Multi-Agent Systems and Ethical AI Governance. - Xiaohe Li, Haohua Wu, Jiahao Li, Zide Fan, Kaixin Zhang, Xinming Li, Yunping Ge, Xinyu Zhao:
SAFE: Self-Adjustment Federated Learning Framework for Remote Sensing Collaborative Perception. - Zhihan Jiang, Yujie Huang, Guangba Yu, Junjie Huang, Jiazhen Gu, Michael R. Lyu:
Hierarchical Prediction-based Management for LMaaS Systems. - Henry Beuster, Lars-Michel Bretthauer, Gerd Scholl:
OPC UA for IO-Link Wireless in a Cyber Physical Finite Element Sensor Network for Shape Measurement. - Luca Marini:
Semi-supervised learning for marine anomaly detection on board satellites. - Sebastian Barros:
Solving AI Foundational Model Latency with Telco Infrastructure. - Suman Raj, Bhavani A Madhabhavi, Kautuk Astu, Arnav A Rajesh, Pratham M, Yogesh Simmhan:
Ocularone-Bench: Benchmarking DNN Models on GPUs to Assist the Visually Impaired. - Ege Erdogan:
Geometric Flow Models over Neural Network Weights. - Wenji Fang, Jing Wang, Yao Lu, Shang Liu, Yuchao Wu, Yuzhe Ma, Zhiyao Xie:
A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA. - Jan Lewen, Max Pargmann, Jenia Jitsev, Mehdi Cherti, Robert Pitz-Paal, Daniel Maldonado Quinto:
Scalable heliostat surface predictions from focal spots: Sim-to-Real transfer of inverse Deep Learning Raytracing. - Weichen Dai, Zijie Dai, Zhijie Huang, Yixuan Pan, Xinhe Li, Xi Li, Yi Zhou, Ji Qi, Jiang Wu:
RLDBF: Enhancing LLMs Via Reinforcement Learning With DataBase FeedBack. - Runpeng Dai, Run Yang, Fan Zhou, Hongtu Zhu:
Breach in the Shield: Unveiling the Vulnerabilities of Large Language Models. - Hannah Janmohamed, Antoine Cully:
Multi-Objective Quality-Diversity in Unstructured and Unbounded Spaces. - Hannah Murray, Brian Hyeongseok Kim, Isabelle Lee, Jason Byun, Dani Yogatama, Evi Micha:
Ethical AI on the Waitlist: Group Fairness Evaluation of LLM-Aided Organ Allocation. - Yongyi Yang, Jianyang Gao, Wei Hu:
RaanA: A Fast, Flexible, and Data-Efficient Post-Training Quantization Algorithm. - Senkang Hu, Yanan Ma, Yihang Tao, Zhengru Fang, Zihan Fang, Yiqin Deng, Sam Kwong, Yuguang Fang:
Task-Aware Parameter-Efficient Fine-Tuning of Large Pre-Trained Models at the Edge. - Tales Panoutsos, Rodrygo L. T. Santos, Flavio V. D. de Figueiredo:
Towards Symmetric Low-Rank Adapters. - Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Kai Shu, Hanghang Tong:
TransNet: Transfer Knowledge for Few-shot Knowledge Graph Completion. - Luyuan Zhang, An Liu, Kexuan Wang:
A Hybrid Reinforcement Learning Framework for Hard Latency Constrained Resource Scheduling. - Roberto Giorgi, Gianfranco Mariotti:
WebRISC-V: A 64-bit RISC-V Pipeline Simulator for Computer Architecture Classes. - Yangbo Wei, Zhen Huang, Huang Li, Wei W. Xing, Ting-Jung Lin, Lei He:
VFlow: Discovering Optimal Agentic Workflows for Verilog Generation. - Zhiqiang Wang, Pengbin Feng, Yanbin Lin, Shuzhang Cai, Zongao Bian, Jinghua Yan, Xingquan Zhu:
CrowdVLM-R1: Expanding R1 Ability to Vision Language Model for Crowd Counting using Fuzzy Group Relative Policy Reward. - Anita Graser:
Timeseries Foundation Models for Mobility: A Benchmark Comparison with Traditional and Deep Learning Models. - Yulu Pi, Ella Bettison, Anna Becker:
Detecting Malicious AI Agents Through Simulated Interactions. - Jim W. Barrett, Nils Erlanson, Joana Félix China, G. Niklas Norén:
A Scalable Predictive Modelling Approach to Identifying Duplicate Adverse Event Reports for Drugs and Vaccines. - Asaju Babajide, Almustapha Wakili, Michaela Barnett, Lucas Potter, Xavier-Lewis Palmer, Woosub Jung:
Safeguarding Smart Inhaler Devices and Patient Privacy in Respiratory Health Monitoring. - Abhimanyu Pallavi Sudhir, Jackson Kaunismaa, Arjun Panickssery:
A Benchmark for Scalable Oversight Protocols. - Nika Mansouri-Ghiasi, Talu Güloglu, Harun Mustafa, Can Firtina, Konstantina Koliogeorgi, Konstantinos Kanellopoulos, Haiyu Mao, Rakesh Nadig, Mohammad Sadrosadati, Jisung Park, Onur Mutlu:
SAGe: A Lightweight Algorithm-Architecture Co-Design for Mitigating the Data Preparation Bottleneck in Large-Scale Genome Analysis. - Jianfei Cao, Dongchao Wang:
Artificial Geographically Weighted Neural Network: A Novel Framework for Spatial Analysis with Geographically Weighted Layers. - Erfan Shayegani, G. M. Shahariar, Sara Abdali, Lei Yu, Nael B. Abu-Ghazaleh, Yue Dong:
Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots. - Teodor Chiaburu, Felix Bießmann, Frank Haußer:
Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators. - Pietro Cassieri, Giuseppe De Filippo, Simranjit Singh, Marco Mazzotta, Gianpiero Sisto, Mariangela Lazoi, Gianvito Mitrano, Claudio Pascarelli, Gianluca Fimiani, Simone Romano, Marina Garofano, Alessia Bramanti, Giuseppe Scanniello:
PrediHealth: Telemedicine and Predictive Algorithms for the Care and Prevention of Patients with Chronic Heart Failure. - Litao Hua, Fan Liu, Jie Su, Xingyu Miao, Zizhou Ouyang, Zeyu Wang, Runze Hu, Zhenyu Wen, Bing Zhai, Yang Long, Haoran Duan, Yuan Zhou:
Attention in Diffusion Model: A Survey. - Mingyan Liu:
A Unified Virtual Mixture-of-Experts Framework:Enhanced Inference and Hallucination Mitigation in Single-Model System. - ZhiTeng Zhu, Lan Yao:
Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer. - Adrien Janssens, Adrien Banse, Julien Calbert, Raphaël M. Jungers:
Agile Temporal Discretization for Symbolic Optimal Control. - Songtao Peng, Lei Wang, Wu Shuai, Hao Song, Jiajun Zhou, Shanqing Yu, Qi Xuan:
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection. - Benjamin Patrick Evans, Leo Ardon, Sumitra Ganesh:
Modelling bounded rational decision-making through Wasserstein constraints. - Tanmay Chakraborty, Christian Wirth, Christin Seifert:
Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection. - Anna M. Maddux, Marko Maljkovic, Nikolas Geroliminis, Maryam Kamgarpour:
No-Regret Learning in Stackelberg Games with an Application to Electric Ride-Hailing. - Pavia Bera, Sabrina Hassan Moon, Jennifer Adorno, Dayane Alfenas Reis, Sanjukta Bhanja:
Enhancing Biologically Inspired Hierarchical Temporal Memory with Hardware-Accelerated Reflex Memory. - Francesco Bernardini, Daniel Biediger, Ileana Pineda, Linda Kleist, Aaron T. Becker:
Using Mobile Relays to Strongly Connect a Minimum-Power Network between Terminals Complying with No-Transmission Zones. - Kaiyuan Hou, Minghui Zhao, Lilin Xu, Yuang Fan, Xiaofan Jiang:
TDBench: Benchmarking Vision-Language Models in Understanding Top-Down Images. - Jérémy Morlier, Mathieu Léonardon, Vincent Gripon:
Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems. - Diego Vallarino:
Detecting Financial Fraud with Hybrid Deep Learning: A Mix-of-Experts Approach to Sequential and Anomalous Patterns. - Rômulo Damasclin Chaves dos Santos, Jorge Henrique de Oliveira Sales:
Revolutionizing Fractional Calculus with Neural Networks: Voronovskaya-Damasclin Theory for Next-Generation AI Systems. - Sebastian Barros:
Proof of Humanity: A Multi-Layer Network Framework for Certifying Human-Originated Content in an AI-Dominated Internet. - Juhua Chen, Karson shi, Jialing He, North Chen, Kele Jiang:
MMCE: A Framework for Deep Monotonic Modeling of Multiple Causal Effects. - Yiyang Gao, Shuai Zhao, Boyang Li, Xinwei Fang, Zhiyang Lin, Zhe Jiang, Nan Guan:
Exploiting the Uncertainty of the Longest Paths: Response Time Analysis for Probabilistic DAG Tasks. - Shijie Ma, Fei Zhu, Xu-Yao Zhang, Cheng-Lin Liu:
ProtoGCD: Unified and Unbiased Prototype Learning for Generalized Category Discovery. - Yu-Lin Kuo, Yu-Chee Tseng, Ting-Hui Chiang, Yan-Ann Chen:
Semi-Self Representation Learning for Crowdsourced WiFi Trajectories. - Xuanwen Liang, Jiayu Chen, Eric Wai Ming Lee, Wei Xie:
Improved visual-information-driven model for crowd simulation and its modular application. - Jianing Qiu, Lin Li, Jiankai Sun, Hao Wei, Zhe Xu, Kyle Lam, Wu Yuan:
Emerging Cyber Attack Risks of Medical AI Agents. - Weirong Dong, Kai Zhou, Zhen Kong, Quan Cheng, Junkai Huang, Zhengke Yang, Masanori Hashimoto, Longyang Lin:
Efficient Calibration for RRAM-based In-Memory Computing using DoRA. - Sifeddine Benahmed, Soulaimane Berkane, Tarek Hamel:
A Geometric Approach For Pose and Velocity Estimation Using IMU and Inertial/Body-Frame Measurements. - Lele Cao:
Watermarking for AI Content Detection: A Review on Text, Visual, and Audio Modalities. - Brandon Radosevich, John Halloran:
MCP Safety Audit: LLMs with the Model Context Protocol Allow Major Security Exploits. - Yi Nian, Shenzhe Zhu, Yuehan Qin, Li Li, Ziyi Wang, Chaowei Xiao, Yue Zhao:
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model. - Helena Zhang, Jakobi Haskell, Yosef Frost:
Flow State: Humans Enabling AI Systems to Program Themselves. - Qian Chen, Xingjian Dong, Zhike Peng, Guang Meng:
SHapley Estimated Explanation (SHEP): A Fast Post-Hoc Attribution Method for Interpreting Intelligent Fault Diagnosis. - Giulio Malenza, Francesco Targa, Adriano Marques Garcia, Marco Aldinucci, Robert Birke:
Exploring energy consumption of AI frameworks on a 64-core RV64 Server CPU. - Weiqing Li, Guochao Jiang, Xiangyong Ding, Zhangcheng Tao, Chuzhan Hao, Chenfeng Xu, Yuewei Zhang, Hao Wang:
FlowKV: A Disaggregated Inference Framework with Low-Latency KV Cache Transfer and Load-Aware Scheduling. - Hussain Jagirdar, Rukma Talwadker, Aditya Pareek, Pulkit Agrawal, Tridib Mukherjee:
Explainable and Interpretable Forecasts on Non-Smooth Multivariate Time Series for Responsible Gameplay. - Stefano Cirillo, Domenico Desiato, Giuseppe Polese, Monica Maria Lucia Sebillo, Giandomenico Solimando:
Augmenting Anonymized Data with AI: Exploring the Feasibility and Limitations of Large Language Models in Data Enrichment. - Georgi A. Markov, Jon G. Hall, Lucia Rapanotti:
POE-Δ: a framework for change engineering. - Ramin Zarei Sabzevar, Hamed Mohammadzadeh, Tahmineh Tavakoli, Ahad Harati:
A Study on Adversarial Robustness of Discriminative Prototypical Learning. - Haoyuan Li, Mathias Funk, Jindong Wang, Aaqib Saeed:
FAST: Federated Active Learning with Foundation Models for Communication-efficient Sampling and Training. - Sifan Li, Yujun Cai, Bryan Hooi, Nanyun Peng, Yiwei Wang:
Do "New Snow Tablets" Contain Snow? Large Language Models Over-Rely on Names to Identify Ingredients of Chinese Drugs. - Naveen Mathews Renji, Balaji R. Rao, Carlo Lipizzi:
Steve: LLM Powered ChatBot for Career Progression. - Gonçalo Faria, Noah A. Smith:
Sample, Don't Search: Rethinking Test-Time Alignment for Language Models. - Dante Basile, Xavier Tricoche, Martin Lo:
Meshing of High-Dimensional Toroidal Manifolds from Quasi-Periodic Three-Body Problem Dynamics using Parameterization via Discrete One-Forms. - Xintong Wang, Haihan Nan, Ruidong Li, Huaming Wu:
DP-LET: An Efficient Spatio-Temporal Network Traffic Prediction Framework. - Kishansingh Rajput, Sen Lin, Auralee Edelen, Willem Blokland, Malachi Schram:
Outlook Towards Deployable Continual Learning for Particle Accelerators. - Liangwei Yang, Yuhui Xu, Juntao Tan, Doyen Sahoo, Silvio Savarese, Caiming Xiong, Huan Wang, Shelby Heinecke:
Entropy-Based Block Pruning for Efficient Large Language Models. - Huabin Cheng, Rujie Chen, Yu Chen, Wei Zhang, Ning Xu:
CSF: Fixed-outline Floorplanning Based on the Conjugate Subgradient Algorithm Assisted by Q-Learning. - Yongjie Wang, Jonathan Cyril Leung, Ming Chen, Zhiwei Zeng, Benny Toh Hsiang Tan, Yang Qiu, Zhiqi Shen:
An Intelligent and Privacy-Preserving Digital Twin Model for Aging-in-Place. - Wei Huang, Qinying Gu, Nanyang Ye:
Decision SpikeFormer: Spike-Driven Transformer for Decision Making. - Ruhui Zhang, Hezhe Qiao, Pengcheng Xu, Mingsheng Shang, Lin Chen:
Semantic-guided Representation Learning for Multi-Label Recognition. - Suman Raj, Rajdeep Singh, Kautuk Astu, Yogesh Simmhan:
Towards a Drones-as-a-Service Platform for Application Programming. - Sander Noels, Guillaume Bied, Maarten Buyl, Alexander Rogiers, Yousra Fettach, Jefrey Lijffijt, Tijl De Bie:
What Large Language Models Do Not Talk About: An Empirical Study of Moderation and Censorship Practices. - Eslam Eldeeb, Hirley Alves:
Offline and Distributional Reinforcement Learning for Wireless Communications. - Joselyne Muragijemariya, Valentine Ihogoza, Edith Talina Luhanga:
Scope of Online Maternal Health Information in Kinyarwanda and Opportunities for Digital Health Developers. - Maliheh Toozandehjani, Ali Mousavi, Reza Taheri:
From Keypoints to Realism: A Realistic and Accurate Virtual Try-on Network from 2D Images. - Qinqin Zhang, Xiaoyu Liang, Ning Xu, Yu Chen:
Fast Thermal-Aware Chiplet Placement Assisted by Surrogate. - Stanislaw Szufa, Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Piotr Skowron, Arkadii Slinko, Nimrod Talmon:
Drawing a Map of Elections. - Yu-Zhe Shi, Mingchen Liu, Fanxu Meng, Qiao Xu, Zhangqian Bi, Kun He, Lecheng Ruan, Qining Wang:
Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs. - Grgur Kovac, Jérémy Perez, Rémy Portelas, Peter Ford Dominey, Pierre-Yves Oudeyer:
Recursive Training Loops in LLMs: How training data properties modulate distribution shift in generated data? - Muhammed Adil Yatkin, Mihkel Kõrgesaar, Jani Romanoff, Umit Islak, Hasan Kurban:
Exploring Various Sequential Learning Methods for Deformation History Modeling. - Andrew Kiruluta, Andreas Lemos:
A Hybrid Wavelet-Fourier Method for Next-Generation Conditional Diffusion Models. - Lisa P. Argyle, Ethan C. Busby, Joshua Gubler, Bryce Hepner, Alex Lyman, David Wingate:
Arti-"fickle" Intelligence: Using LLMs as a Tool for Inference in the Political and Social Sciences. - Virilo Tejedor, Cristina Zuheros, Carlos Peláez-González, David Herrera-Poyatos, Andrés Herrera-Poyatos, Francisco Herrera:
The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning. - Wei-Lin Chen, Zhepei Wei, Xinyu Zhu, Shi Feng, Yu Meng:
Do LLM Evaluators Prefer Themselves for a Reason? - Ved Umrajkar, Aakash Kumar Singh:
Detection Limits and Statistical Separability of Tree Ring Watermarks in Rectified Flow-based Text-to-Image Generation Models. - Keegan Harris:
Can ChatGPT Learn My Life From a Week of First-Person Video? - Andrii Zahorodnii:
Improving World Models using Deep Supervision with Linear Probes. - Piotr Przymus, Mikolaj Fejzer, Jakub Narebski, Krzysztof Stencel:
The Secret Life of CVEs. - Erin Wolf Chambers, Ishika Ghosh, Elizabeth Munch, Sarah Percival, Bei Wang:
Towards an Optimal Bound for the Interleaving Distance on Mapper Graphs. - Ziming Liu, Leichen Wang, Ge Yang, Xinrun Li, Xingtao Hu, Hao Sun, Guangyu Gao:
Control Map Distribution using Map Query Bank for Online Map Generation. - Yongji Wu, Xueshen Liu, Shuowei Jin, Ceyu Xu, Feng Qian, Z. Morley Mao, Matthew Lentz, Danyang Zhuo, Ion Stoica:
HeterMoE: Efficient Training of Mixture-of-Experts Models on Heterogeneous GPUs. - Luca Meda, Stephanie Stockar:
Koopman-Based Methods for EV Climate Dynamics: Comparing eDMD Approaches. - Wanhee Lee, Klemen Kotar, Rahul Mysore Venkatesh, Jared Watrous, Honglin Chen, Khai Loong Aw, Daniel L. K. Yamins:
3D Scene Understanding Through Local Random Access Sequence Modeling. - Yuchen Wei, Dennis Pearl, Matthew Beckman, Rebecca J. Passonneau:
Concept-based Rubrics Improve LLM Formative Assessment and Data Synthesis. - Jiho Kim, Cong Hao:
RealProbe: An Automated and Lightweight Performance Profiler for In-FPGA Execution of High-Level Synthesis Designs. - Kaitao Chen:
Improving Front-end Performance through Modular Rendering and Adaptive Hydration (MRAH) in React Applications. - Joshua A. Robbins, Jacob A. Siefert, Herschel C. Pangborn:
Sparsity-Promoting Reachability Analysis and Optimization of Constrained Zonotopes. - Jianhao Zheng, Zihan Zhu, Valentin Bieri, Marc Pollefeys, Songyou Peng, Iro Armeni:
WildGS-SLAM: Monocular Gaussian Splatting SLAM in Dynamic Environments. - Jiabo Shi, Yehia Elkhatib:
Accurate GPU Memory Prediction for Deep Learning Jobs through Dynamic Analysis. - Jason Phang, Michael Lampe, Lama Ahmad, Sandhini Agarwal, Cathy Mengying Fang, Auren R. Liu, Valdemar Danry, Eunhae Lee, Samantha W. T. Chan, Pat Pataranutaporn, Pattie Maes:
Investigating Affective Use and Emotional Well-being on ChatGPT. - Pedro Sandoval Segura, Xijun Wang, Ashwinee Panda, Micah Goldblum, Ronen Basri, Tom Goldstein, David Jacobs:
Using Attention Sinks to Identify and Evaluate Dormant Heads in Pretrained LLMs. - Gordon D. Plotkin, Ningning Xie:
Handling the Selection Monad (Full Version). - Haiqing Li, Yuzhi Guo, Feng Jiang, Qifeng Zhou, Hehuan Ma, Junzhou Huang:
Leveraging Gait Patterns as Biomarkers: An attention-guided Deep Multiple Instance Learning Network for Scoliosis Classification. - Dabin Park, Sanghyun Lee, Sunghwan Moon:
A Machine Learning and Finite Element Framework for Inverse Elliptic PDEs via Dirichlet-to-Neumann Mapping. - John Paisley, Ghazal Fazelnia, Brian Barr:
Stochastic Variational Inference with Tuneable Stochastic Annealing. - Martin Schäfer, Tino Ullrich:
Besov regularity of multivariate non-periodic functions in terms of half-period cosine coefficients and consequences for recovery and numerical integration. - Abhilekh Borah, Hasnat Md Abdullah, Kangda Wei, Ruihong Huang:
CliME: Evaluating Multimodal Climate Discourse on Social Media and the Climate Alignment Quotient (CAQ). - Ziyue Xu, Yuan-Ting Hsieh, Zhihong Zhang, Holger R. Roth, Chester Chen, Yan Cheng, Andrew Feng:
Secure Federated XGBoost with CUDA-accelerated Homomorphic Encryption via NVIDIA FLARE. - Zeev Nutov:
Tight analysis of the primal-dual method for edge-covering pliable set families. - Nataly R. Panczyk, Ömer Erdem, Majdi I. Radaideh:
Opening the Black-Box: Symbolic Regression with Kolmogorov-Arnold Networks for Energy Applications. - Qi Luo, Florian Schäfer:
Optimal Krylov On Average. - Rufei Ma, Chao Chen:
RF-BayesPhysNet: A Bayesian rPPG Uncertainty Estimation Method for Complex Scenarios. - Mahsa Bazzaz, Seth Cooper:
Analysis of Uncertainty in Procedural Maps in Slay the Spire. - Tyler Ward, Abdullah-Al-Zubaer Imran:
Improving Brain Disorder Diagnosis with Advanced Brain Function Representation and Kolmogorov-Arnold Networks. - Jeries Mattar, Mor M. Dahan, Stefan Dünkel, Halid Mulaosmanovic, Sven Beyer, Eilam Yalon, Nicolás Wainstein:
Reconfigurable Time-Domain In-Memory Computing Marco using CAM FeFET with Multilevel Delay Calibration in 28 nm CMOS. - Jonathan Gornet, Yilin Mo, Bruno Sinopoli:
An Exploration-free Method for a Linear Stochastic Bandit Driven by a Linear Gaussian Dynamical System. - Abderrafik Laakel Hemdanou, Youssef Achtoun, Mohammed Lamarti Sefian, Ismail Tahiri, Abdellatif El Afia:
Random Normed k-Means: A Paradigm-Shift in Clustering within Probabilistic Metric Spaces. - Rishi Hazra, Gabriele Venturato, Pedro Zuidberg Dos Martires, Luc De Raedt:
Have Large Language Models Learned to Reason? A Characterization via 3-SAT Phase Transition. - Zixuan Ke, Yifei Ming, Shafiq Joty:
NAACL2025 Tutorial: Adaptation of Large Language Models. - Dongsuk Jang, Alan Li, Arman Cohan:
YaleNLP @ PerAnsSumm 2025: Multi-Perspective Integration via Mixture-of-Agents for Enhanced Healthcare QA Summarization. - Samuele Marro, Davide Evangelista, X. Angelo Huang, Emanuele La Malfa, Michele Lombardi, Michael J. Wooldridge:
Language Models Are Implicitly Continuous. - Suheyon Lee, Euisin Gee:
Commit-Reveal2: Randomized Reveal Order Mitigates Last-Revealer Attacks in Commit-Reveal. - Gabriel H. Brown, Joe Kileel, Tamara G. Kolda:
The Fascinating World of 2 ⨉ 2 ⨉ 2 Tensors: Its Geometry and Optimization Challenges. - Shuangyu Xie, Ken Goldberg, Dezhen Song:
Energy Efficient Planning for Repetitive Heterogeneous Tasks in Precision Agriculture. - Tianle Wu, Mojtaba Esfandiari, Peiyao Zhang, Russell H. Taylor, Peter Gehlbach, Iulian Iordachita:
Deep Learning-Enhanced Robotic Subretinal Injection with Real-Time Retinal Motion Compensation. - Mahsa Bazzaz, Seth Cooper:
Analysis of Robustness of a Large Game Corpus. - Chris Samarinas, Hamed Zamani:
Distillation and Refinement of Reasoning in Small Language Models for Document Re-ranking. - Sanjoy Kundu, Shanmukha Vellamchetti, Sathyanarayanan N. Aakur:
ProbRes: Probabilistic Jump Diffusion for Open-World Egocentric Activity Recognition. - Tzeh Yuan Neoh, Nicholas Teh:
Understanding EFX Allocations: Counting and Variants. - Anand Brahmbhatt, Gon Buzaglo, Sofiia Druchyna, Elad Hazan:
A New Approach to Controlling Linear Dynamical Systems. - Arash Sajjadi, Mark Eramian:
TGraphX: Tensor-Aware Graph Neural Network for Multi-Dimensional Feature Learning. - Xinling Yu, Ziyue Liu, Hai Li, Yixing Li, Xin Ai, Zhiyu Zeng, Ian A. Young, Zheng Zhang:
DeepOHeat-v1: Efficient Operator Learning for Fast and Trustworthy Thermal Simulation and Optimization in 3D-IC Design. - Baolei Zhang, Yuxi Chen, Minghong Fang, Zhuqing Liu, Lihai Nie, Tong Li, Zheli Liu:
Practical Poisoning Attacks against Retrieval-Augmented Generation. - Mario Rico Ibanez, Azim Akhtarshenas, David López-Pérez, Giovanni Geraci:
Optimizing UAV Aerial Base Station Flights Using DRL-based Proximal Policy Optimization. - Simon A. Lee, Anthony Wu, Jeffrey N. Chiang:
Clinical ModernBERT: An efficient and long context encoder for biomedical text. - Chen Wang, Mingdai Yang, Zhiwei Liu, Pan Li, Linsey Pang, Qingsong Wen, Philip S. Yu:
Automating Personalization: Prompt Optimization for Recommendation Reranking. - Kovan Mzwri, Márta Turcsányi-Szabó:
Bridging LMS and Generative AI: Dynamic Course Content Integration (DCCI) for Connecting LLMs to Course Content - The Ask ME Assistant. - Dahun Kim, A. J. Piergiovanni, Ganesh Mallya, Anelia Angelova:
VideoComp: Advancing Fine-Grained Compositional and Temporal Alignment in Video-Text Models. - Xavier V. Caddle, Sarvech Qadir, Charles E. Hughes, Elizabeth A. Sweigart, Jinkyung Katie Park, Pamela J. Wisniewski:
Building a Village: A Multi-stakeholder Approach to Open Innovation and Shared Governance to Promote Youth Online Safety. - Wenliang Zheng, Sarkar Snigdha Sarathi Das, Yusen Zhang, Rui Zhang:
GREATERPROMPT: A Unified, Customizable, and High-Performing Open-Source Toolkit for Prompt Optimization. - Francesco De Santis, Gabriele Ciravegna, Philippe Bich, Danilo Giordano, Tania Cerquitelli:
V-CEM: Bridging Performance and Intervenability in Concept-based Models. - Amit K. Verma, Zhisong Zhang, Junwon Seo, Robin Kuo, Runbo Jiang, Emma Strubell, Anthony D. Rollett:
Structured Extraction of Process Structure Properties Relationships in Materials Science. - Roberta Mota, Ehud Sharlin, Usman R. Alim:
Virtual Reality Lensing for Surface Approximation in Feature-driven Volume Visualization. - Shreya Khisa, Ali Amhaz, Mohamed Elhattab, Chadi Assi, Sanaa Sharafeddine:
Meta-Learning Driven Movable-Antenna-assisted Full-Duplex RSMA for Multi-User Communication: Performance and Optimization. - Cameron Mehlman, Gregory Falco:
I Can Hear You Coming: RF Sensing for Uncooperative Satellite Evasion. - Graziella Bedenik, Antonio Morales, Supun Pieris, Barbara da Silva, John W. Kurelek, Melissa Greeff, Matthew Robertson:
Bistable SMA-driven engine for pulse-jet locomotion in soft aquatic robots. - Gabriel Kenji Godoy Shimanuki, Alexandre Moreira Nascimento, Lucio Flavio Vismari, João Battista Camargo Junior, Jorge Rady de Almeida Jr., Paulo Sérgio Cugnasca:
CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development. - Seunghyon Kang, Hyeonghun Kim, Boris Kramer:
Parametric Operator Inference to Simulate the Purging Process in Semiconductor Manufacturing. - Siddharth Srikanth, Varun Bhatt, Boshen Zhang, Werner Hager, Charles Michael Lewis, Katia P. Sycara, Aaquib Tabrez, Stefanos Nikolaidis:
Algorithmic Prompt Generation for Diverse Human-like Teaming and Communication with Large Language Models. - Muhammad El-Mahdy, Nourhan Sakr, Rodrigo Carrasco:
Improving Mixed-Criticality Scheduling with Reinforcement Learning. - Steven Schaefer, Nathan Varner, Pedro H. Azevedo de Amorim, Max S. New:
Intrinsic Verification of Parsers and Formal Grammar Theory in Dependent Lambek Calculus (Extended Version). - Seyedeh Baharan Khatami, Sayan Chakraborty, Ruomeng Xu, Babak Salimi:
Towards Robust Offline Evaluation: A Causal and Information Theoretic Framework for Debiasing Ranking Systems. - Jianyu Wang, Shanzheng Guan, Zhengqiao Zhao, Nicolas Dobigeon, Jingdong Chen:
Determined blind source separation via modeling adjacent frequency band correlations in speech signals. - James Noeckel, Benjamin T. Jones, Adriana Schulz, Brian Curless:
View2CAD: Reconstructing View-Centric CAD Models from Single RGB-D Scans. - Chuang Yang, Xu Han, Tao Han, Han Han, Bingxuan Zhao, Qi Wang:
Edge Approximation Text Detector. - Guochu Xiong, Xiangzhong Luo, Weichen Liu:
Learning Cache Coherence Traffic for NoC Routing Design. - Inas Ghazouani Ghailani, Yoshi Malaise, Beat Signer:
JsStories: Improving Social Inclusion in Computer Science Education Through Interactive Stories. - Adel Chehade, Edoardo Ragusa, Paolo Gastaldo, Rodolfo Zunino:
Tiny Neural Networks for Session-Level Traffic Classification. - Maksim Siniukov, Di Chang, Minh Tran, Hongkun Gong, Ashutosh Chaubey, Mohammad Soleymani:
DiTaiListener: Controllable High Fidelity Listener Video Generation with Diffusion. - Siva Rama Krishna Kottapalli, Karthik Hubli, Sandeep Chandrashekhara, Garima Jain, Sunayana Hubli, Gayathri Botla, Ramesh Doddaiah:
Foundation Models for Time Series: A Survey. - Houzhang Fang, Xiaolin Wang, Zengyang Li, Lu Wang, Qingshan Li, Yi Chang, Luxin Yan:
Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAVTarget Detection. - Xuechun Li, Shan Gao, Susu Xu:
Multi-resolution Score-Based Variational Graphical Diffusion for Causal Disaster System Modeling and Inference. - Andrea Gajic, Sudip Vhaduri:
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains. - Mingyu Yang, Wentao Li, Zhitao Shen, Chuan Xiao, Wei Wang:
ESG: Elastic Graphs for Range-Filtering Approximate k-Nearest Neighbor Search. - Darsh J. Shah, Peter Rushton, Somanshu Singla, Mohit Parmar, Kurt Smith, Yash Vanjani, Ashish Vaswani, Adarsh Chaluvaraju, Andrew Hojel, Andrew Ma, Anil Thomas, Anthony Polloreno, Ashish Tanwer, Burhan Drak Sibai, Divya S. Mansingka, Divya Shivaprasad, Ishaan Shah, Karl Stratos, Khoi Nguyen, Michael Callahan, Michael Pust, Mrinal Iyer, Philip Monk, Platon Mazarakis, Ritvik Kapila, Saurabh Srivastava, Tim Romanski:
Rethinking Reflection in Pre-Training. - Yifan Li, Wentao Bao, Botao Ye, Zhen Tan, Tianlong Chen, Huan Liu, Yu Kong:
Window Token Concatenation for Efficient Visual Large Language Models. - Daniel Rivera, Jacob Huddin, Alexander Banerjee, Rongzhen Zhang, Brenda Mai, Hanadi El Achi, Jacob Armstrong, Amer Wahed, Andy Nguyen:
Artificial intelligence application in lymphoma diagnosis: from Convolutional Neural Network to Vision Transformer. - Yingming Mao, Qiaozhu Zhai, Yuzhou Zhou, Ximeng Liu, Zhen Yao, Xia Zhu:
ASDO: An Efficient Algorithm for Traffic Engineering in Large-Scale Data Center Network. - Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego:
Simultaneous Motion And Noise Estimation with Event Cameras. - Wasi Uddin Ahmad, Aleksander Ficek, Mehrzad Samadi, Jocelyn Huang, Vahid Noroozi, Somshubra Majumdar, Boris Ginsburg:
OpenCodeInstruct: A Large-scale Instruction Tuning Dataset for Code LLMs. - Yingbin Liang, Lu Dai, Shuo Shi, Minghao Dai, Junliang Du, Haige Wang:
Contrastive and Variational Approaches in Self-Supervised Learning for Complex Data Mining. - Ehsanul Kabir, Lucas Craig, Shagufta Mehnaz:
Disparate Privacy Vulnerability: Targeted Attribute Inference Attacks and Defenses. - Dianshuo Li, Li Chen, Yunxiang Cao, Kai Zhu, Jun Cheng:
UCS: A Universal Model for Curvilinear Structure Segmentation. - Kaung Lwin Thant, Kwankamol Nongpong, Ye Kyaw Thu, Thura Aung, Khaing Hsu Wai, Thazin Myint Oo:
myNER: Contextualized Burmese Named Entity Recognition with Bidirectional LSTM and fastText Embeddings via Joint Training with POS Tagging. - Haoran Li, Jingfeng Wu, Vladimir Braverman:
Memory-Statistics Tradeoff in Continual Learning with Structural Regularization. - Maithili Patel, Xavier Puig, Ruta Desai, Roozbeh Mottaghi, Sonia Chernova, Joanne Truong, Akshara Rai:
ADAPT: Actively Discovering and Adapting to Preferences for any Task. - Kepu Zhang, Weijie Yu, Zhongxiang Sun, Jun Xu:
SyLeR: A Framework for Explicit Syllogistic Legal Reasoning in Large Language Models. - Conghao Xiong, Hao Chen, Joseph J. Y. Sung:
A Survey of Pathology Foundation Model: Progress and Future Directions. - James Aspnes, Shlomi Dolev, Amit Hendin:
Computational Obfuscations and Random Oracles for Derandomizing Asynchronous Consensus. - Kang Xue, Ming Dong, Xinhui Tu, Tingting He:
FISH-Tuning: Enhancing PEFT Methods with Fisher Information. - Xuyang Guo, Zekai Huang, Jiayan Huo, Yingyu Liang, Zhenmei Shi, Zhao Song, Jiahao Zhang:
Can You Count to Nine? A Human Evaluation Benchmark for Counting Limits in Modern Text-to-Video Models. - Youn-Yeol Yu, Jeongwhan Choi, Jaehyeon Park, Kookjin Lee, Noseong Park:
PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks. - Mahid Ahmed, Ali Dogru, Chaoyang Zhang, Chao Meng:
Learning-Based Multi-Criteria Decision Model for Site Selection Problems. - Anirban Mukherjee, Hannah Hanwen Chang:
Stochastic, Dynamic, Fluid Autonomy in Agentic AI: Implications for Authorship, Inventorship, and Liability. - Amin Masoumi, Mert Korkali:
Deep-Learning-Directed Preventive Dynamic Security Control via Coordinated Demand Response. - Yuhao Wang, Heyang Liu, Ziyang Cheng, Ronghua Wu, Qunshan Gu, Yanfeng Wang, Yu Wang:
VocalNet: Speech LLM with Multi-Token Prediction for Faster and High-Quality Generation. - Haojia Gao, Haohua Que, Kunrong Li, Weihao Shan, Mingkai Liu, Rong Zhao, Lei Mu, Xinghua Yang, Qi Wei, Fei Qiao:
Mapping at First Sense: A Lightweight Neural Network-Based Indoor Structures Prediction Method for Robot Autonomous Exploration. - Kepu Zhang, Zhongxiang Sun, Weijie Yu, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li, Jun Xu:
QE-RAG: A Robust Retrieval-Augmented Generation Benchmark for Query Entry Errors. - Aanchal Patel, Aswani Kumar Cherukuri:
Analysis of Light-Weight Cryptography Algorithms for UAV-Networks. - Jiaqi Deng, Kaize Shi, Zonghan Wu, Huan Huo, Dingxian Wang, Guandong Xu:
UniRVQA: A Unified Framework for Retrieval-Augmented Vision Question Answering via Self-Reflective Joint Training. - Sagar Tamang, Dibya Jyoti Bora:
Enforcement Agents: Enhancing Accountability and Resilience in Multi-Agent AI Frameworks. - Satvik Golechha, Adrià Garriga-Alonso:
Among Us: A Sandbox for Agentic Deception. - Bing Wang, Bingrui Zhao, Ximing Li, Changchun Li, Wanfu Gao, Sheng-Sheng Wang:
Collaboration and Controversy Among Experts: Rumor Early Detection by Tuning a Comment Generator. - Ashwin Vinod, Chandrajit Bajaj:
Scalable Robust Bayesian Co-Clustering with Compositional ELBOs. - Chaoyi Lu, Yiding Sun, Pengbo Li, Zhichuan Yang:
Corrected with the Latest Version: Make Robust Asynchronous Federated Learning Possible. - Aviv Brokman, Xuguang Ai, Yuhang Jiang, Shashank Gupta, Ramakanth Kavuluru:
A Benchmark for End-to-End Zero-Shot Biomedical Relation Extraction with LLMs: Experiments with OpenAI Models. - Xiao-Hui Li, Fei Yin, Cheng-Lin Liu:
DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning. - Zekai Shen, Haitao Yuan, Xiaowei Mao, Congkang Lv, Shengnan Guo, Youfang Lin, Huaiyu Wan:
Towards An Efficient and Effective En Route Travel Time Estimation Framework. - Malte Luttermann, Ralf Möller, Marcel Gehrke:
Lifting Factor Graphs with Some Unknown Factors for New Individuals. - Mathijs Barkel, Rachael Colley, Maxence Delorme, David F. Manlove, William Pettersson:
Operational research approaches and mathematical models for kidney exchange: A literature survey and empirical evaluation. - Shaohang Han, Matti Vahs, Jana Tumova:
Risk-Aware Robot Control in Dynamic Environments Using Belief Control Barrier Functions. - Wenchao Xia, Ben Zhao, Wankai Tang, Yongxu Zhu, Kai-Kit Wong, Sangarapillai Lambotharan, Hyundong Shin:
RIS-Empowered Integrated Location Sensing and Communication with Superimposed Pilots. - Chunzhao Xie, Tongxuan Liu, Lei Jiang, Yuting Zeng, jinrong Guo, Yunheng Shen, Weizhe Huang, Jing Li, Xiaohua Xu:
TARAC: Mitigating Hallucination in LVLMs via Temporal Attention Real-time Accumulative Connection. - Jiaxun Zhang, Yanchen Guan, Chengyue Wang, Haicheng Liao, Guohui Zhang, Zhenning Li:
LATTE: Lightweight Attention-based Traffic Accident Anticipation Engine. - Haofei Yin, Mengbai Xiao, Rouzhou Lu, Xiao Zhang, Dongxiao Yu, Guanghui Zhang:
PipeDec: Low-Latency Pipeline-based Inference with Dynamic Speculative Decoding towards Large-scale Models. - Xin Quan, Marco Valentino, Danilo S. Carvalho, Dhairya Dalal, André Freitas:
PEIRCE: Unifying Material and Formal Reasoning via LLM-Driven Neuro-Symbolic Refinement. - Bingxu Wang, Yapeng Wang, Kunzhi Cai, Yuqi Zhang, Zeyi Zhou, Yachong Guo, Wei Wang, Qing Zhou:
Transformer representation learning is necessary for dynamic multi-modal physiological data on small-cohort patients. - Lixiang Xu, Xianwei Ding, Xin Yuan, Zhanlong Wang, Lu Bai, Enhong Chen, Philip S. Yu, Yuanyan Tang:
Improving Question Embeddings with Cognitiv Representation Optimization for Knowledge Tracing. - Muhammad Ahmed Ullah Khan, Abdul Hannan Khan, Andreas Dengel:
EMF: Event Meta Formers for Event-based Real-time Traffic Object Detection. - Zhenzhi Wang, Yixuan Li, Yanhong Zeng, Yuwei Guo, Dahua Lin, Tianfan Xue, Bo Dai:
Multi-identity Human Image Animation with Structural Video Diffusion. - Chaoxiong Ma, Yan Liang, Huixia Zhang, Hao Sun:
Guaranteeing consistency in evidence fusion: A novel perspective on credibility. - Andrei-Alexandru Preda, Iulian-Marius Taiatu, Dumitru-Clementin Cercel:
Scaling Federated Learning Solutions with Kubernetes for Synthesizing Histopathology Images. - Michael J. Bommarito II, Daniel Martin Katz, Jillian Bommarito:
Precise Legal Sentence Boundary Detection for Retrieval at Scale: NUPunkt and CharBoundary. - Satoshi Kura, Hiroshi Unno, Takeshi Tsukada:
Ranking and Invariants for Lower-Bound Inference in Quantitative Verification of Probabilistic Programs. - George Nadareishvili, Jonas Oberhauser, Wolfgang J. Paul:
The Probability Spaces of QuickSort. - Mridul Kumar, Deepali Jain, Zeeshan Saifi, Soami Daya Krishnananda:
Predicting Soil Macronutrient Levels: A Machine Learning Approach Models Trained on pH, Conductivity, and Average Power of Acid-Base Solutions. - Eduardo Salazar:
Introducing COGENT3: An AI Architecture for Emergent Cognition. - Yougang Lyu, Shijie Ren, Yue Feng, Zihan Wang, Zhumin Chen, Zhaochun Ren, Maarten de Rijke:
Cognitive Debiasing Large Language Models for Decision-Making. - Kees van Deemter:
My Life in Artificial Intelligence: People, anecdotes, and some lessons learnt. - Xinyu Liu, Aljaz Kramberger, Leon Bodenhagen:
A General Peg-in-Hole Assembly Policy Based on Domain Randomized Reinforcement Learning. - Yidong Wang:
Reasoning on Multiple Needles In A Haystack. - Kazuki Yano, Takumi Ito, Jun Suzuki:
STEP: Staged Parameter-Efficient Pre-training for Large Language Models. - Zihao Li, Shaoxiong Ji, Hengyu Luo, Jörg Tiedemann:
Rethinking Multilingual Continual Pretraining: Data Mixing for Adapting LLMs Across Languages and Resources. - Yikai Wang, Guangce Liu, Xinzhou Wang, Zilong Chen, Jiafang Li, Xin Liang, Fuchun Sun, Jun Zhu:
Video4DGen: Enhancing Video and 4D Generation through Mutual Optimization. - Mengbang Zou, Yun Tang, Weisi Guo:
Data-driven Method to Ensure Cascade Stability of Traffic Load Balancing in O-RAN Based Networks. - Hengyu Luo, Zihao Li, Joseph Attieh, Sawal Devkota, Ona de Gibert, Shaoxiong Ji, Peiqin Lin, Bhavani Sai Praneeth Varma Mantina, Ananda Sreenidhi, Raúl Vázquez, Mengjie Wang, Samea Yusofi, Jörg Tiedemann:
GlotEval: A Test Suite for Massively Multilingual Evaluation of Large Language Models. - Kai Fang, Anqi Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei:
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation. - Yunlong Lin, Zixu Lin, Haoyu Chen, Panwang Pan, Chenxin Li, Sixiang Chen, Yeying Jin, Wenbo Li, Xinghao Ding:
JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration. - Wenxuan Wang, Lexing Zhang, Jiale Lei, Yin Feng, Hengxu Hu:
Vehicle Acceleration Prediction Considering Environmental Influence and Individual Driving Behavior. - Alexandre Oliveira, Katarina Dyreby, Francisco M. Caldas, Cláudia Soares:
OrbitZoo: Multi-Agent Reinforcement Learning Environment for Orbital Dynamics. - Shiguang Sun, Hanbo Zhang, Zeyang Liu, Xinrui Yang, Lipeng Wan, Bin Yan, Xingyu Chen, Xuguang Lan:
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning. - Marcio Pereira Basilio, Valdecy Pereira, Fatih Yigit, Büsra Ayan, Seda Abacioglu:
Iterative Random Weight EC-TOPSIS Method for Ranking Companies on Social Media. - Jianhua Sun, Cewu Lu:
Digital Gene: Learning about the Physical World through Analytic Concepts. - Ehtisham Ul Haq, Song Wang, Robert S. Allison:
The Ripple Effect of Vulnerabilities in Maven Central: Prevalence, Propagation, and Mitigation Challenges. - Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang:
MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. - Filip Fors Connolly, Mikael Hjerm, Sara Kalucza:
When Will AI Transform Society? Swedish Public Predictions on AI Development Timelines. - Yun Li, Jicheng Shi, Colin N. Jones, Neil Yorke-Smith, Tamás Keviczky:
Model Predictive Building Climate Control for Mitigating Heat Pump Noise Pollution (Extended Version). - Dong Liu, Yuanchao Wu, Bowen Tong, Jiansong Deng:
SDEIT: Semantic-Driven Electrical Impedance Tomography. - Anja Gruenheid, Jesús Camacho-Rodríguez, Carlo Curino, Raghu Ramakrishnan, Stanislav Pak, Sumedh Sakdeo, Lenisha Gandhi, Sandeep K. Singhal, Pooja Nilangekar, Daniel J. Abadi:
AutoComp: Automated Data Compaction for Log-Structured Tables in Data Lakes. - Chuadhry Mujeeb Ahmed:
AttackLLM: LLM-based Attack Pattern Generation for an Industrial Control System. - Qunwei Li, Linghui Li, Jianbin Lin, Wenliang Zhong:
Towards Principled Learning for Re-ranking in Recommender Systems. - Yuyang Zhang, Baao Xie, Hu Zhu, Qi Wang, Huanting Guo, Xin Jin, Wenjun Zeng:
Interpretable Single-View 3D Gaussian Splatting using Unsupervised Hierarchical Disentangled Representation Learning. - Jieming Cui, Tengyu Liu, Ziyu Meng, Jiale Yu, Ran Song, Wei Zhang, Yixin Zhu, Siyuan Huang:
GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill. - Xinyu Mao, Teerapong Leelanupab, Martin Potthast, Harrisen Scells, Guido Zuccon:
AiReview: An Open Platform for Accelerating Systematic Reviews with LLMs. - Naoto Kikuta, Issei Onda, Kazuki Abe, Masahiro Watanabe, Kenjiro Tadakuma:
Passive Luminescent Bellows Mechanism. - Debjani Goswami, Indrakshi Dey, Nicola Marchetti, Suvra Sekhar Das:
Distributed Time Synchronization in NOMA-Assisted Ultra-Dense Networks. - Hamza Riaz, Alan F. Smeaton:
The Effects of Grouped Structural Global Pruning of Vision Transformers on Domain Generalisation. - Eleon Bach, Sophie Huiberts:
Optimal Smoothed Analysis of the Simplex Method. - Xiang Li, Wei He, Per Ola Kristensson:
Evaluating the Usability of Microgestures for Text Editing Tasks in Virtual Reality. - Zihuai Zhao, Wenqi Fan, Yao Wu, Qing Li:
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations. - Harvey Dam, Tripti Agarwal, Ganesh Gopalakrishnan:
Directional Sign Loss: A Topology-Preserving Loss Function that Approximates the Sign of Finite Differences. - Jimmy Wang, Thomas P. Zollo, Richard S. Zemel, Hongseok Namkoong:
Adaptive Elicitation of Latent Information Using Natural Language. - Zhibo Deng, Vladimir A. Zakharov:
On the Equivalence Checking Problem for Deterministic Top-Down Tree Automata. - Vishnu Kabir Chhabra, Mohammad Mahdi Khalili:
Towards Understanding and Improving Refusal in Compressed Models via Mechanistic Interpretability. - Yuantao Zhang, Zhankui Yang:
A Perplexity and Menger Curvature-Based Approach for Similarity Evaluation of Large Language Models. - Farbod Younesi, Milad Rabiei, Soroush Keivanfard, Mohsen Sharifi, Marzieh Ghayour Najafabadi, Bahar Moadeli, Arshia Jafari, Mohammad Hossein Moaiyeri:
An Optimized Density-Based Lane Keeping System for A Cost-Efficient Autonomous Vehicle Platform: AurigaBot V1. - Yoshihiko Kakutani:
A Categorical Foundation of Rough Sets. - Yueheng Zhu, Chao Liu, Xuan He, Xiaoxue Ren, Zhongxin Liu, Ruwei Pan, Hongyu Zhang:
AdaCoder: An Adaptive Planning and Multi-Agent Framework for Function-Level Code Generation. - Rami Huu Nguyen, Kenichi Maeda, Mahsa Geshvadi, Daniel Haehn:
Evaluating Graphical Perception with Multimodal LLMs. - Tianyu Cui, Xinjie Lin, Sijia Li, Miao Chen, Qilei Yin, Qi Li, Ke Xu:
TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation. - Yilmaz Ege Gonul, Baris Taskin:
Multi-Phase Coupled CMOS Ring Oscillator based Potts Machine. - Gustavo Quiros Araya, Yi Peng Zhu, Tao Cui, Shaokai Lin, Marten Lohstroh, Edward A. Lee:
Exploration of Approaches for Robustness and Safety in a Low Code Open Environment for Factory Automation. - Hamza Riaz, Alan F. Smeaton:
Resilience of Vision Transformers for Domain Generalisation in the Presence of Out-of-Distribution Noisy Images. - Pedro Alves, Bruno Pereira Cipriano:
Automated Assessment in Mobile Programming Courses: Leveraging GitHub Classroom and Flutter for Enhanced Student Outcomes. - Zhiyu He, Zhixin Ling, Jiayu Li, Zhiqiang Guo, Weizhi Ma, Xinchen Luo, Min Zhang, Guorui Zhou:
Short Video Segment-level User Dynamic Interests Modeling in Personalized Recommendation. - Yuheng Wu, Wentao Guo, Zirui Liu, Heng Ji, Zhaozhuo Xu, Denghui Zhang:
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models. - Mouaad Boughellaba, Soulaimane Berkane, Abdelhamid Tayebi:
Nonlinear Observer Design for Landmark-Inertial Simultaneous Localization and Mapping. - Chandan Sharma, Rakshith GB, Ajay Kumar Patel, Dhanus M. Lal, Darshan Patel, Ragesh Hajela, Masahiro Doteguchi, Priyanka Sharma:
oneDAL Optimization for ARM Scalable Vector Extension: Maximizing Efficiency for High-Performance Data Science. - Omar Elharrouss, Yasir Mahmood, Yassine Bechqito, Mohamed Adel Serhani, Elarbi Badidi, Jamal Riffi, Hamid Tairi:
Loss Functions in Deep Learning: A Comprehensive Review. - Jakob Schoeffer, Maria De-Arteaga, Jonathan Elmer:
Perils of Label Indeterminacy: A Case Study on Prediction of Neurological Recovery After Cardiac Arrest. - Avijit Saha Asru, Hamed Khosravi, Imtiaz Ahmed, Abdullahil Azeem:
From Automation to Autonomy in Smart Manufacturing: A Bayesian Optimization Framework for Modeling Multi-Objective Experimentation and Sequential Decision Making. - Kesav Kaza, Jerome Le Ny, Aditya Mahajan:
Task load dependent decision referrals for joint binary classification in human-automation teams. - Davide Molinelli, Alberto Martin-Lopez, Elliott Zackrone, Beyza Eken, Michael D. Ernst, Mauro Pezzè:
Tratto: A Neuro-Symbolic Approach to Deriving Axiomatic Test Oracles. - Muhammad Osama Zeeshan, Marco Pedersoli, Alessandro Lameiras Koerich, Eric Grange:
Progressive Multi-Source Domain Adaptation for Personalized Facial Expression Recognition. - Kathrin Schnizer, Sven Mayer:
User-Centered AI for Data Exploration: Rethinking GenAI's Role in Visualization. - Sepehr Assadi, Sanjeev Khanna, Aaron Putterman:
Correlation Clustering and (De)Sparsification: Graph Sketches Can Match Classical Algorithms. - Clemens C. Christoph, Maximilian Eberlein, Filippos Katsimalis, Arturo Roberti, Aristotelis Sympetheros, Michel R. Vogt, Davide Liconti, Chenyu Yang, Barnabas Gavin Cangan, Ronan Hinchet, Robert K. Katzschmann:
ORCA: An Open-Source, Reliable, Cost-Effective, Anthropomorphic Robotic Hand for Uninterrupted Dexterous Task Learning. - Marimuthu Kalimuthu, David Holzmüller, Mathias Niepert:
LOGLO-FNO: Efficient Learning of Local and Global Features in Fourier Neural Operators. - Md. Ehsanul Haque, S. M. Jahidul Islam, Jeba Maliha, Md. Shakhauat Hossan Sumon, Rumana Sharmin, Sakib Rokoni:
Improving Chronic Kidney Disease Detection Efficiency: Fine Tuned CatBoost and Nature-Inspired Algorithms with Explainable AI. - Mingyang Wang, Heike Adel, Lukas Lange, Yihong Liu, Ercong Nie, Jannik Strötgen, Hinrich Schütze:
Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models. - Thomas L. Draper, Feras A. Saad:
Efficient Rejection Sampling in the Entropy-Optimal Range. - Mete Ahishali, Anis Ur Rahman, Einari Heinaro, Samuli Junttila:
ADA-Net: Attention-Guided Domain Adaptation Network with Contrastive Learning for Standing Dead Tree Segmentation Using Aerial Imagery. - Túlio Sousa de Gois, Paloma Batista Cardoso:
negativas: a prototype for searching and classifying sentential negation in speech data. - Keerthi Devireddy:
A Comparative Study of Explainable AI Methods: Model-Agnostic vs. Model-Specific Approaches. - Marios Kokkodis, Richard Demsyn-Jones, Vijay Raghavan:
Beyond the Hype: Embeddings vs. Prompting for Multiclass Classification Tasks. - Hongchao Fang, Yixin Liu, Jiangshu Du, Can Qin, Ran Xu, Feng Liu, Lichao Sun, Dongwon Lee, Lifu Huang, Wenpeng Yin:
Could AI Trace and Explain the Origins of AI-Generated Images and Text? - Runlong Yu, Shengyu Chen, Yiqun Xie, Huaxiu Yao, Jared Willard, Xiaowei Jia:
Foundation Models for Environmental Science: A Survey of Emerging Frontiers. - Yingzhe Li, Philip J. Morrison, Stefan Possanner, Eric Sonnendrücker:
Semi-Lagrangian methods of a plasma hybrid model with multi-species kinetic ions and massless electrons. - Xiao Lin, Zhichen Zeng, Tianxin Wei, Zhining Liu, Yuzhong chen, Hanghang Tong:
CATS: Mitigating Correlation Shift for Multivariate Time Series Classification. - Shijie Pan, Subhash Lakshminarayana, Charalambos Konstantinou:
Cyber Insurance Design for Load Variation and Load Curtailment in Distribution Grids. - Yufei Jiang, Yuanzhu Zhan, Harsh Vardhan Gupta, Chinmay Borde, Junyi Geng:
A Self-Supervised Learning Approach with Differentiable Optimization for UAV Trajectory Planning. - Zhewei Wang, Olugbenga Moses Anubi, Marcos M. Vasconcelos:
Optimal Teaming for Coordination with Bounded Rationality via Convex Optimization. - Jie Yang, Yiqiu Tang, Yongjie Li, Lihua Zhang, Haoran Zhang:
Cross-Asset Risk Management: Integrating LLMs for Real-Time Monitoring of Equity, Fixed Income, and Currency Markets. - Zhisheng Huang, Peng Wang, Jingdong Zhang, Yuan Liu, Xin Li, Wenping Wang:
3R-GS: Best Practice in Optimizing Camera Poses Along with 3DGS. - Jie Yang, Yiqiu Tang, Yongjie Li, Lihua Zhang, Haoran Zhang:
Dynamic Hedging Strategies in Derivatives Markets with LLM-Driven Sentiment and News Analytics. - Sadra Sabouri, Sepand Haghighi, Elena Masrour:
Samila: A Generative Art Generator. - Mohammad Namvarpour, Harrison Pauwels, Afsaneh Razi:
AI-induced sexual harassment: Investigating Contextual Characteristics and User Reactions of Sexual Harassment by a Companion Chatbot. - Saleh Almohaimeed, Shenyang Liu, May Alsofyani, Saad Almohaimeed, Liqiang Wang:
Sigma: A dataset for text-to-code semantic parsing with statistical analysis. - Anjan Bellamkonda, Laksh Bharani, Harivatsan Selvam:
AbsInf: A Lightweight Object to Represent float('inf') in Dijkstra's Algorithm. - Oleh Pastukh, Viktor Khomyshyn:
Using ensemble methods of machine learning to predict real estate prices. - Yingcong Li, Davoud Ataee Tarzanagh, Ankit Singh Rawat, Maryam Fazel, Samet Oymak:
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning. - Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang:
CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization. - Aos Mulahuwaish, Basheer Qolomany, Kevin Gyorick, Jacques Bou Abdo, Mohammed Aledhari, Junaid Qadir, Kathleen M. Carley, Ala I. Al-Fuqaha:
A Survey of Social Cybersecurity: Techniques for Attack Detection, Evaluations, Challenges, and Future Prospects. - Xiaodong Shao, Haoyang Yang, Haoran Li, Zongyu Zuo, José Guadalupe Romero, Qinglei Hu:
Prescribed-Time Boresight Control of Spacecraft Under Pointing Constraints. - Justin K. Miller, Tristram J. Alexander:
Balancing Complexity and Informativeness in LLM-Based Clustering: Finding the Goldilocks Zone. - Honghao Dong, Guoping Wang, Sheng Li:
Neural Parametric Mixtures for Path Guiding. - Mehmet Can Yavuz, Berrin Yanikoglu:
Variational Self-Supervised Learning. - Dimitrios Stamoulis, Diana Marculescu:
Geo-OLM: Enabling Sustainable Earth Observation Studies with Cost-Efficient Open Language Models & State-Driven Workflows. - Carlos Fernández-Loría:
Causal Inference Isn't Special: Why It's Just Another Prediction Problem. - Jingwen Wu, Jiajing Zheng, Zhenyu Yang, Zhongxing Yu:
Compiler Optimization Testing Based on Optimization-Guided Equivalence Transformations. - Pei Xu, Yulei Sui, Mark Staples:
Towards Source Mapping for Zero-Knowledge Smart Contracts: Design and Preliminary Evaluation. - Yiming Shi, Shaoshuai Yang, Xun Zhu, Haoyu Wang, Miao Li, Ji Wu:
MedM-VL: What Makes a Good Medical LVLM? - Fengjun Yang, Jake Welde, Nikolai Matni:
Learning Flatness-Preserving Residuals for Pure-Feedback Systems. - Juan Sosa, Alejandro Urrego-Lopez, Cesar Prieto, Emma J. Camargo-Díaz:
Constructing the Truth: Text Mining and Linguistic Networks in Public Hearings of Case 03 of the Special Jurisdiction for Peace (JEP). - Manuel Sage, Martin Staniszewski, Yaoyao Fiona Zhao:
Economic Battery Storage Dispatch with Deep Reinforcement Learning from Rule-Based Demonstrations. - Quan Shi, Carlos E. Jimenez, Stephen Dong, Brian Seo, Caden Yao, Adam Kelch, Karthik Narasimhan:
IMPersona: Evaluating Individual Level LM Impersonation. - Alessio Bucaioni, Martin Weyssow, Junda He, Yunbo Lyu, David Lo:
Artificial Intelligence for Software Architecture: Literature Review and the Road Ahead. - Yuya Ogasa, Yuki Arase:
Hallucination Detection using Multi-View Attention Features. - Cong Sun, Kurt Teichman, Yiliang Zhou, Brian Critelli, David Nauheim, Graham Keir, Xindi Wang, Judy Zhong, Adam E. Flanders, George Shih, Yifan Peng:
Generative Large Language Models Trained for Detecting Errors in Radiology Reports. - Alexander Naumann, Xunjiang Gu, Tolga Dimlioglu, Mariusz Bojarski, Alperen Degirmenci, Alexander Popov, Devansh Bisla, Marco Pavone, Urs Muller, Boris Ivanovic:
Data Scaling Laws for End-to-End Autonomous Driving. - Peng Gao, Yujian Lee, Zailong Chen, Hui zhang, Xubo Liu, Yiyang Hu, Guquang Jing:
NCL-CIR: Noise-aware Contrastive Learning for Composed Image Retrieval. - Ying Zhao:
AnomalyHybrid: A Domain-agnostic Generative Framework for General Anomaly Detection. - Zhenyu Zhao, Yanfei Wang:
A Local Fourier Extension Method for Function Approximation. - Ayan Sengupta, Siddhant Chaudhary, Tanmoy Chakraborty:
Compression Laws for Large Language Models. - Zhijie Duan, Kai Wei, Zhaoqian Xue, Jiayan Zhou, Shu Yang, Siyuan Ma, Jin Jin, Lingyao Li:
Crowdsourcing-Based Knowledge Graph Construction for Drug Side Effects Using Large Language Models with an Application on Semaglutide. - Federico M. Zegers, Sean Phillips:
ChronoSync: A Decentralized Chronometer Synchronization Protocol for Multi-Agent Systems. - Shihao Wang, Zhiding Yu, Xiaohui Jiang, Shiyi Lan, Min Shi, Nadine Chang, Jan Kautz, Ying Li, José M. Álvarez:
OmniDrive: A Holistic Vision-Language Dataset for Autonomous Driving with Counterfactual Reasoning. - Houshuang Chen, Yaonan Jin, Pinyan Lu, Chihao Zhang:
Tight Regret Bounds for Fixed-Price Bilateral Trade. - Jinyang Li, Sangwon Hyun, M. Ali Babar:
DDPT: Diffusion-Driven Prompt Tuning for Large Language Model Code Generation. - Jiaxiang Cheng, Guoqiang Hu:
Extending Cox Proportional Hazards Model with Symbolic Non-Linear Log-Risk Functions for Survival Analysis. - Jacob Belga, Richard Skarbez, Yahya Hmaiti, Eric J. Chen, Ryan P. McMahan, Joseph J. LaViola:
The Fidelity-based Presence Scale (FPS): Modeling the Effects of Fidelity on Sense of Presence. - Chenyang Li:
Unconditionally optimal error Estimate of a linearized Second-order Fully Discrete Finite Element Method for the bioconvection flows with concentration dependent viscosity. - Jie Zhu, Yujun Zhu, Ju Ming, Max D. Gunzburger:
Splitting Method for Stochastic Navier-Stokes Equations. - Peng Xie, Johannes Betz, Davide M. Raimondo, Amr Alanwar:
Data-Driven Reachability Analysis for Piecewise Affine System. - Shenyang Liu, Saleh Almohaimeed, Liqiang Wang:
REFORMER: A ChatGPT-Driven Data Synthesis Framework Elevating Text-to-SQL Models. - Claudio Spiess, Mandana Vaziri, Louis Mandel, Martin Hirzel:
AutoPDL: Automatic Prompt Optimization for LLM Agents. - Sergey Pastukhov:
Solving Sokoban using Hierarchical Reinforcement Learning with Landmarks. - K. M. Sameera, P. Vinod, Anderson Rocha, Rafidha Rehiman K. A., Mauro Conti:
WeiDetect: Weibull Distribution-Based Defense against Poisoning Attacks in Federated Learning for Network Intrusion Detection Systems. - Satyajeet Sahoo, Jhareswar Maiti:
A Novel Cholesky Kernel based Support Vector Classifier. - Sabaat Haroon, Ahmad Faraz Khan, Ahmad Humayun, Waris Gill, Abdul Haddi Amjad, Ali R. Butt, Mohammad Taha Khan, Muhammad Ali Gulzar:
How Accurately Do Large Language Models Understand Code? - Shenyang Liu, Yang Gao, Shaoyan Zhai, Liqiang Wang:
StyleRec: A Benchmark Dataset for Prompt Recovery in Writing Style Transformation. - Jiyu Tian, Mingchu Li, Liming Chen, Zumin Wang:
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning. - Ruoyan Li, Zijie Huang, Yizhou Sun, Wei Wang:
From Coarse to Fine: A Physics-Informed Self-Guided Flow Diffusion Model. - Priyanshu Kumar, Devansh Jain, Akhila Yerukola, Liwei Jiang, Himanshu Beniwal, Thomas Hartvigsen, Maarten Sap:
PolyGuard: A Multilingual Safety Moderation Tool for 17 Languages. - Taehoon Kim:
Future-Proof Yourself: An AI Era Survival Guide. - Chenyang Li:
Error analysis of a Euler finite element scheme for Natural convection model with variable density. - Ximing Lu, Seungju Han, David Acuna, Hyunwoo Kim, Jaehun Jung, Shrimai Prabhumoye, Niklas Muennighoff, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi:
Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning. - Xiaokai Wang, Guiran Liu, Binrong Zhu, Jacky He, Hongye Zheng, Hanlu Zhang:
Pre-trained Language Models and Few-shot Learning for Medical Entity Extraction. - Yi Xu, Weicong Qin, Weijie Yu, Ming He, Jianping Fan, Jun Xu:
Decoding Recommendation Behaviors of In-Context Learning LLMs Through Gradient Descent. - Saharsh Goenka, Adit Prabhu, Payge Sakurai, Mrinaal Ramachandran, Rakibul Hasan:
Who's Watching You Zoom? Investigating Privacy of Third-Party Zoom Apps. - Zheng Fang, Shenyi Zhang, Tao Wang, Bowen Li, Lingchen Zhao, Zhangyi Wang:
Selective Masking Adversarial Attack on Automatic Speech Recognition Systems. - Jake Grigsby, Yuqi Xie, Justin Sasek, Steven Zheng, Yuke Zhu:
Human-Level Competitive Pokémon via Scalable Offline Reinforcement Learning with Transformers. - Monika Henzinger, Nikita P. Kalinin, Jalaj Upadhyay:
Binned Group Algebra Factorization for Differentially Private Continual Counting. - Bowen Zheng, Enze Liu, Zhongfu Chen, Zhongrui Ma, Yue Wang, Wayne Xin Zhao, Ji-Rong Wen:
Pre-training Generative Recommender with Multi-Identifier Item Tokenization. - Ziyi Yang, Krishnan B. Iyer, Yixi Chen, Ran Shu, Zsolt István, Marco Canini, Suhaib A. Fahmy:
OffRAC: Offloading Through Remote Accelerator Calls. - Bowen Zheng, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen:
Universal Item Tokenization for Transferable Generative Recommendation. - Zehui Lin, Chenxiao Hu, Jinzhu Jia, Sheng Li:
Hypothesis Testing for Progressive Kernel Estimation and VCM Framework. - Sándor P. Fekete, Phillip Keldenich, Dominik Krupke, Stefan Schirra:
Minimum Non-Obtuse Triangulations: The CG:SHOP Challenge 2025. - Yuquan Xiao, Qinghe Du, Wenchi Cheng, George K. Karagiannidis, Arumugam Nallanathan, Mohsen Guizani:
Redefining Information Freshness: AoGI for Generative AI in 6G Networks. - Igor C. Oliveira:
Meta-Mathematics of Computational Complexity Theory. - Cheng Chang, Jingwei Ge, Jiazhe Guo, Zelin Guo, Binghong Jiang, Li Li:
Driving-RAG: Driving Scenarios Embedding, Search, and RAG Applications. - Hang Zhao, Juzhan Xu, Kexiong Yu, Ruizhen Hu, Chenyang Zhu, Kai Xu:
Deliberate Planning of 3D Bin Packing on Packing Configuration Trees. - Hongliang Liang, Luming Yin, Guohao Wu, Yuxiang Li, Qiuping Yi, Lei Wang:
LeakGuard: Detecting Memory Leaks Accurately and Scalably. - Yang Jiao, Haibo Qiu, Zequn Jie, Shaoxiang Chen, Jingjing Chen, Lin Ma, Yu-Gang Jiang:
UniToken: Harmonizing Multimodal Understanding and Generation through Unified Visual Encoding. - Shiyan Liu, Rui Qu, Yan Jin:
FluentLip: A Phonemes-Based Two-stage Approach for Audio-Driven Lip Synthesis with Optical Flow Consistency. - Yuto Shibata, Keitaro Tanaka, Yoshiaki Bando, Keisuke Imoto, Hirokatsu Kataoka, Yoshimitsu Aoki:
Formula-Supervised Sound Event Detection: Pre-Training Without Real Data. - Negin Akbari, John C. Grundy, Muhammad Aamir Cheema, Adel Nadjaran Toosi:
IntentContinuum: Using LLMs to Support Intent-Based Computing Across the Compute Continuum. - Matej Sprogar:
AGITB: A Signal-Level Benchmark for Evaluating Artificial General Intelligence. - Tatiana Merkulova, Bharani Jayakumar:
Evaluation framework for Image Segmentation Algorithms. - Wang Zhang, Chenguang Liu, Yue Pi, Yong Zhang, Hairong Huang, Baoquan Rao, Yulong Ding, Shuanghua Yang, Jie Jiang:
DRAMA: A Dynamic Packet Routing Algorithm using Multi-Agent Reinforcement Learning with Emergent Communication. - Mark McGill, Joseph O'Hagan, Thomas Goodge, Graham A. Wilson, Mohamed Khamis, Veronika Krauß, Jan Gugenheimer:
Do We Need Responsible XR? Drawing on Responsible AI to Inform Ethical Research and Practice into XRAI / the Metaverse. - Sergio Díaz-Elbal, Andrei Martínez-Finkelshtein, Darío Ramos-López:
Sampling patterns for Zernike-like bases in non-standard geometries. - Zheyu Chen, Jinfeng Xu, Yutong Wei, Ziyue Peng:
Squeeze and Excitation: A Weighted Graph Contrastive Learning for Collaborative Filtering. - Daniel Bershatsky, Ivan V. Oseledets:
On the Spatial Structure of Mixture-of-Experts in Transformers. - Jiayi Su, Jingyu Qian, Liuqing Yang, Yufan Yuan, Yanbing Fu, Jie Wu, Yan Wei, Fengzhong Qu:
A Convex and Global Solution for the PnP Problem in 2D Forward-Looking Sonar. - Jan Haskovec, Peter A. Markowich, Simone Portaro, Stefano Zampini:
Robust and scalable nonlinear solvers for finite element discretizations of biological transportation networks. - Etienne Chassaing, Florent Forest, Olga Fink, Malcolm Mielle:
Thermoxels: a voxel-based method to generate simulation-ready 3D thermal models. - Shuolong Chen, Xingxing Li, Liu Yuan:
eKalibr-Stereo: Continuous-Time Spatiotemporal Calibration for Event-Based Stereo Visual Systems. - Jinfeng Xu, Zheyu Chen, Wei Wang, Xiping Hu, Sang-Wook Kim, Edith C. H. Ngai:
COHESION: Composite Graph Convolutional Network with Dual-Stage Fusion for Multimodal Recommendation. - Lei Cheng, Mahdi Saleh, Qing Cheng, Lu Sang, Hongli Xu, Daniel Cremers, Federico Tombari:
PRISM: Probabilistic Representation for Integrated Shape Modeling and Generation. - Alejandro Fontán, Tobias Fischer, Javier Civera, Michael Milford:
VSLAM-LAB: A Comprehensive Framework for Visual SLAM Methods and Datasets. - David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Andrés Herrera-Poyatos, Virilo Tejedor, Francisco Herrera, Rosana Montes:
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability. - Guandong Li, Mengxia Ye:
Spatial-Geometry Enhanced 3D Dynamic Snake Convolutional Neural Network for Hyperspectral Image Classification. - Mike Thelwall:
In which fields do ChatGPT 4o scores align better than citations with research quality? - Davide Marincione, Giorgio Strano, Donato Crisostomi, Roberto Ribuoli, Emanuele Rodolà:
LoopGen: Training-Free Loopable Music Generation. - Jiabao Guo, Ajian Liu, Yunfeng Diao, Jin Zhang, Hui Ma, Bo Zhao, Richang Hong, Meng Wang:
Domain Generalization for Face Anti-spoofing via Content-aware Composite Prompt Engineering. - Zhuo Zhi, Qiangqiang Wu, Minghe shen, Wenbo Li, Yinchuan Li, Kun Shao, Kaiwen Zhou:
VideoAgent2: Enhancing the LLM-Based Agent System for Long-Form Video Understanding by Uncertainty-Aware CoT. - Haisong Xia, Zhongzhi Zhang:
Fast Maximization of Current Flow Group Closeness Centrality. - Archana Sahu, Plaban Kumar Bhowmick:
Directed Graph-alignment Approach for Identification of Gaps in Short Answers. - Cheng Yuwen, Guanghui Wen, Jialing Zhou, Meng Luan, Tingwen Huang:
Distributed Nash Equilibrium Seeking in Coalition Games for Uncertain Euler-Lagrange Systems With Application to USV Swarm Confrontation. - Renyuan Liu, Qinbing Fu:
Attention-Driven LPLC2 Neural Ensemble Model for Multi-Target Looming Detection and Localization. - Simone Facchiano, Giorgio Strano, Donato Crisostomi, Irene Tallini, Tommaso Mencattini, Fabio Galasso, Emanuele Rodolà:
Activation Patching for Interpretable Steering in Music Generation. - Braghadeesh Lakshminarayanan, Cristian R. Rojas:
Fine Tuning a Data-Driven Estimator. - Mengxia Dai, Wenqian Luo, Tianyang Li:
Statistical Management of the False Discovery Rate in Medical Instance Segmentation Based on Conformal Risk Control. - Bangti Jin, Fengru Wang, Yifeng Xu:
Adaptive Approximations of Inclusions in a Semilinear Elliptic Problem Related to Cardiac Electrophysiology. - Yapeng Mi, Zhi Gao, Xiaojian Ma, Qing Li:
Building LLM Agents by Incorporating Insights from Computer Systems. - Damien Rudaz, Christian Licoppe:
Public speech recognition transcripts as a configuring parameter. - Kayato Nishitsunoi, Yoshiyuki Ohmura, Takayuki Komatsu, Yasuo Kuniyoshi:
Learning Conditionally Independent Transformations using Normal Subgroups in Group Theory. - Marin Bencevic, Robert Sojo, Irena Galic:
Skin Color Measurement from Dermatoscopic Images: An Evaluation on a Synthetic Dataset. - Peng Wu, Wanshun Su, Guansong Pang, Yujia Sun, Qingsen Yan, Peng Wang, Yanning Zhang:
AVadCLIP: Audio-Visual Collaboration for Robust Video Anomaly Detection. - Yuqing Wang, Yan Wang, Hailiang Tang, Xiaoji Niu:
SELC: Self-Supervised Efficient Local Correspondence Learning for Low Quality Images. - Konrad Walluszik, Daniel Auge, Gerhard Wirrer, Holm Rauchfuss, Thomas Roecker:
Virtual memory for real-time systems using hPMP. - Xinyue Zhang, Xiaofeng Cai, Waixiang Cao:
The positivity-preserving high-order semi-Lagrangian spectral volume method for Vlasov-Poisson equations. - Mirco Mutti, Jeongyeol Kwon, Shie Mannor, Aviv Tamar:
A Classification View on Meta Learning Bandits. - Netta Shafir, Guy Hacohen, Daphna Weinshall:
Active Learning with a Noisy Annotator. - Lilit Avetisyan, Emmanuel Abolarin, Vanik Zakarian, X. Jessie Yang, Feng Zhou:
The Mediating Effects of Emotions on Trust through Risk Perception and System Performance in Automated Driving. - Li Yang, Serena Morigi, Michael K. Ng, You-Wei Wen:
Truncated Huber Penalty for Sparse Signal Recovery with Convergence Analysis. - Shijian Wang, Linxin Song, Ryotaro Shimizu, Masayuki Goto, Hanqian Wu:
Attributed Synthetic Data Generation for Zero-shot Domain-specific Image Classification. - Yao Tao, Yehui Tang, Yun Wang, Mingjian Zhu, Hailin Hu, Yunhe Wang:
Saliency-driven Dynamic Token Pruning for Large Language Models. - Lixin Xu, Zixuan Liu, Zhewei Gui, Jingxiang Guo, Zeyu Jiang, Zhixuan Xu, Chongkai Gao, Lin Shao:
DexSinGrasp: Learning a Unified Policy for Dexterous Object Singulation and Grasping in Cluttered Environments. - Jiancheng Pan, Yanxing Liu, Xiao He, Long Peng, Jiahao Li, Yuze Sun, Xiaomeng Huang:
Enhance Then Search: An Augmentation-Search Strategy with Foundation Models for Cross-Domain Few-Shot Object Detection. - Junjie Jiang, Zelin Wang, Manqi Zhao, Yin Li, Dongsheng Jiang:
SAM2MOT: A Novel Paradigm of Multi-Object Tracking by Segmentation. - Ivan Ilin:
Hessian of Perplexity for Large Language Models by PyTorch autograd (Open Source). - Xuerui Su, Shufang Xie, Guoqing Liu, Yingce Xia, Renqian Luo, Peiran Jin, Zhiming Ma, Yue Wang, Zun Wang, Yuting Liu:
Trust Region Preference Approximation: A simple and stable reinforcement learning algorithm for LLM reasoning. - Rui Xu, Xing Fan, Shengcai Liu, Wenjie Chen, Ke Tang:
Memetic Search for Green Vehicle Routing Problem with Private Capacitated Refueling Stations. - Gerardo Flores, Abigail Schiff, Alyssa H. Smith, Julia A Fukuyama, Ashia C. Wilson:
A Consequentialist Critique of Binary Classification Evaluation Practices. - Xiaobing Feng, Yukun Li, Liet Vo:
Optimal Order Space-Time Discretization Methods for the Nonlinear Stochastic Elastic Wave Equations with Multiplicative Noise. - Han Wang, Donghe Chen, Tengjie Zheng, Lin Cheng, Shengping Gong:
Confidence-Aware Learning Optimal Terminal Guidance via Gaussian Process Regression. - Anantharaman Janakiraman, Behnaz Ghoraani:
An Empirical Comparison of Text Summarization: A Multi-Dimensional Evaluation of Large Language Models. - Weikai Lin, Tianrui Ma, Adith Boloor, Yu Feng, Ruofan Xing, Xuan Zhang, Yuhao Zhu:
SnapPix: Efficient-Coding-Inspired In-Sensor Compression for Edge Vision. - Motoki Abe, Shinpei Hayashi:
ICCheck: A Portable, Language-Agnostic Tool for Synchronizing Code Clones. - Weichen Zhang, Ruiying Peng, Chen Gao, Jianjie Fang, Xin Zeng, Kaiyuan Li, Ziyou Wang, Jinqiang Cui, Xin Wang, Xinlei Chen, Yong Li:
The Point, the Vision and the Text: Does Point Cloud Boost Spatial Reasoning of Large Language Models? - Bharadwaj Dogga, Anoop Sathyan, Kelly Cohen:
A model agnostic eXplainable AI based fuzzy framework for sensor constrained Aerospace maintenance applications. - Avaljot Singh, Yasmin Sarita, Charith Mendis, Gagandeep Singh:
Automated Verification of Soundness of DNN Certifiers. - Kiran Magar, Shreya Bharathan, Utsav Banerjee:
pc-COP: An Efficient and Configurable 2048-p-Bit Fully-Connected Probabilistic Computing Accelerator for Combinatorial Optimization. - Lucca Heinze Faro, Yuanbo Nie, Paul A. Trodden:
Persistently Exciting Data-Driven Model Predictive Control. - Han Yuan, Lican Kang, Yong Li:
Opening the black box of deep learning: Validating the statistical association between explainable artificial intelligence (XAI) and clinical domain knowledge in fundus image-based glaucoma diagnosis. - Alkesh Patel, Vibhav Chitalia, Yinfei Yang:
Advancing Egocentric Video Question Answering with Multimodal Large Language Models. - Ziyan Qin, Qinbing Fu, Jigen Peng, Shigang Yue:
Dynamic Neural Field Modeling of Visual Contrast for Perceiving Incoherent Looming. - Jie Gao, Yue Xue, Xiaofei Xie, SoeMin Thant, Erika Lee:
Chain of Understanding: Supporting Code Understanding with Large Language Models. - Linkai Ma, Christos Boutsikas, Mehrdad Ghadiri, Petros Drineas:
A Note on the Stability of the Sherman-Morrison-Woodbury Formula. - Ali Hamedi, Amirali Ghaedi, Amin Soltanbeigi, Athena Abdi:
SchEdge: A Dynamic, Multi-agent, and Scalable Scheduling Simulator for IoT Edge. - Sumaiya Malik, Reyan Ahmed, Md. Manzurul Hasan:
Online Facility Assignments on Polygons. - Md Ashraf Uddin, Shaowei Wang, An Ran Chen, Tse-Hsun Chen:
Studying the Impact of Early Test Termination Due to Assertion Failure on Code Coverage and Spectrum-based Fault Localization. - Rui Gan, Pei Li, Keke Long, Bocheng An, Junwei You, Keshu Wu, Bin Ran:
Planning Safety Trajectories with Dual-Phase, Physics-Informed, and Transportation Knowledge-Driven Large Language Models. - Stefan Zellmann, Milan Jaros, Jefferson Amstutz, Ingo Wald:
GPU Volume Rendering with Hierarchical Compression Using VDB. - Maregu Assefa, Muzammal Naseer, Iyyakutti Iyappan Ganapathi, Syed Sadaf Ali, Mohamed L. Seghier, Naoufel Werghi:
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation. - Chitranshu Harbola, Anupam Purwar:
KnowsLM: A framework for evaluation of small language models for knowledge augmentation and humanised conversations. - Mohamed Eltahir, Osamah Sarraj, Mohammed Bremoo, Mohammed Khurd, Abdulrahman Alfrihidi, Taha Alshatiri, Mohammad Almatrafi, Tanveer Hussain:
Multimodal Lengthy Videos Retrieval Framework and Evaluation Metric. - Jieyi Zhang, Wenqiang Xu, Zhenjun Yu, Pengfei Xie, Tutian Tang, Cewu Lu:
DexTOG: Learning Task-Oriented Dexterous Grasp with Language. - Cristina Cornelio, Flavio Petruzzellis, Pietro Lio:
Hierarchical Planning for Complex Tasks with Knowledge Graph-RAG and Symbolic Verification. - Itay Evron, Ran Levinstein, Matan Schliserman, Uri Sherman, Tomer Koren, Daniel Soudry, Nathan Srebro:
Better Rates for Random Task Orderings in Continual Linear Models. - Nicolo Resmini, Eugenio Lomurno, Cristian Sbrolli, Matteo Matteucci:
Your Image Generator Is Your New Private Dataset. - Michal Tesnar, Bilal Wehbe, Matias Valdenegro-Toro:
Modeling of AUV Dynamics with Limited Resources: Efficient Online Learning Using Uncertainty. - Simon Grätzer, Lars Heling, Pavel Klinov:
BARQ: A Vectorized SPARQL Query Execution Engine. - Kyoungjun Park, Zhiyuan He, Cheng Luo, Yi Xu, Lili Qiu, Changhan Ge, Muhammad Muaz, Yuqing Yang:
Joint Optimization of Handoff and Video Rate in LEO Satellite Networks. - Yicheng Gu, Runsong Zhang, Lauri Juvela, Zhizheng Wu:
Diff-SSL-G-Comp: Towards a Large-Scale and Diverse Dataset for Virtual Analog Modeling. - Uri Menkes, Assaf Hallak, Ofra Amir:
"You just can't go around killing people" Explaining Agent Behavior to a Human Terminator. - Noga Ben Yoash, Meni Brief, Oded Ovadia, Gil Shenderovitz, Moshik Mishaeli, Rachel Lemberg, Eitam Sheetrit:
SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities. - Haebeom Jung, Namtae Kim, Jungwoo Kim, Jaesik Park:
Targetless LiDAR-Camera Calibration with Anchored 3D Gaussians. - Benjamin H. Leebron, Kejia Ren, Yiting Chen, Kaiyu Hang:
B4P: Simultaneous Grasp and Motion Planning for Object Placement via Parallelized Bidirectional Forests and Path Repair. - Frank Yingjie Huo, Neil F. Johnson:
Capturing AI's Attention: Physics of Repetition, Hallucination, Bias and Beyond. - Pau Marquez Julbe, Julian Nubert, Henrik Hose, Sebastian Trimpe, Katherine J. Kuchenbecker:
Diffusion-Based Approximate MPC: Fast and Consistent Imitation of Multi-Modal Action Distributions. - Arshiya Taj Abdul, Augustinos D. Saravanos, Evangelos A. Theodorou:
Nonlinear Robust Optimization for Planning and Control. - Anarzhan Abilgazy, Mikhail Zaslavskiy:
Lippmann-Schwinger-Lanczos approach for inverse scattering problem of Schrodinger equation in the resonance frequency domain. - Fernando Rosas, Alexander Boyd, Manuel Baltieri:
AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability. - Haonan Chen, Cheng Zhu, Yunzhu Li, Katherine Rose Driggs-Campbell:
Tool-as-Interface: Learning Robot Policies from Human Tool Usage through Imitation Learning. - Kleanthis Malialis, Stylianos Filippou, Christos G. Panayiotou, Marios M. Polycarpou:
SiameseDuo++: Active Learning from Data Streams with Dual Augmented Siamese Networks. - Eleftherios E. Vlahakis, Lars Lindemann, Dimos V. Dimarogonas:
Conformal Data-driven Control of Stochastic Multi-Agent Systems under Collaborative Signal Temporal Logic Specifications. - Qi Zhang, Huitong Pan, Zhijia Chen, Longin Jan Latecki, Cornelia Caragea, Eduard C. Dragut:
DynClean: Training Dynamics-based Label Cleaning for Distantly-Supervised Named Entity Recognition. - Viet-Anh Le, Andreas A. Malikopoulos:
Distributed Mixed-Integer Quadratic Programming for Mixed-Traffic Intersection Control. - Xiangyun Ding, Yan Gu, Yihan Sun:
New Algorithms for Incremental Minimum Spanning Trees and Temporal Graph Applications. - Amir Bahador Javadi, Philip Pong:
A Review on Symbolic Regression in Power Systems: Methods, Applications, and Future Directions. - Kevin Kuo, Amrith Setlur, Kartik Srinivas, Aditi Raghunathan, Virginia Smith:
Exact Unlearning of Finetuning Data via Model Merging at Scale. - Chengjie Lu, Pablo Valle, Jiahui Wu, Erblin Isaku, Hassan Sartaj, Aitor Arrieta, Shaukat Ali:
Foundation Models for Software Engineering of Cyber-Physical Systems: the Road Ahead. - Lei Wan, Jianxin Zhao, Andreas Wiedholz, Manuel Bied, Mateus Martínez De Lucena, Abhishek Dinkar Jagtap, Andreas Festag, Antônio Augusto Fröhlich, Hannan Ejaz Keen, Alexey V. Vinel:
Systematic Literature Review on Vehicular Collaborative Perception - A Computer Vision Perspective. - Yanshu Li, Hongyang He, Yi Cao, Qisen Cheng, Xiang Fu, Ruixiang Tang:
M2IV: Towards Efficient and Fine-grained Multimodal In-Context Learning in Large Vision-Language Models. - Foram Niravbhai Shah, Parshwa Shah, Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang, Hongfei Xue, Ahmed Helmy:
DanceMosaic: High-Fidelity Dance Generation with Multimodal Editability. - Patrick Queiroz Da Silva, Hari Sethuraman, Dheeraj Rajagopal, Hannaneh Hajishirzi, Sachin Kumar:
Steering off Course: Reliability Challenges in Steering Language Models. - Yogesh Gajula, Ravi Varma Lingala:
Modeling, Translation, and Analysis of Different examples using Simulink, Stateflow, SpaceEx, and FlowStar. - Alberto Larrauri:
Ineffectiveness for Search and Undecidability of PCSP Meta-Problems. - Eylon Caplan, Tania Chakraborty, Dan Goldwasser:
Splits! A Flexible Dataset for Evaluating a Model's Demographic Social Inference. - Yujia Su, Xinjie Li, Lionel Z. Wang:
Sub-Clustering for Class Distance Recalculation in Long-Tailed Drug Classification. - Zihao Wu:
Autono: A ReAct-Based Highly Robust Autonomous Agent Framework. - Yimu Wang, Mozhgan Nasr Azadani, Sean Sedwards, Krzysztof Czarnecki:
LEO-MINI: An Efficient Multimodal Large Language Model using Conditional Token Reduction and Mixture of Multi-Modal Experts. - Ngoc-Quang Nguyen:
EquiCPI: SE(3)-Equivariant Geometric Deep Learning for Structure-Aware Prediction of Compound-Protein Interactions. - Tasnia Rahman, Sathish A. P. Kumar, Sumit Kumar Jha, Arvind Ramanathan:
ACE-RLHF: Automated Code Evaluation and Socratic Feedback Generation Tool using Large Language Models and Reinforcement Learning with Human Feedback. - Haisheng Fu, Jie Liang, Feng Liang, Zhenman Fang, Guohe Zhang, Jingning Han:
3DM-WeConvene: Learned Image Compression with 3D Multi-Level Wavelet-Domain Convolution and Entropy Model. - Suyash Vardhan Singh, Iftakhar Ahmad, David Andrews, Miaoqing Huang, Austin R. J. Downey, Jason D. Bakos:
N-TORC: Native Tensor Optimizer for Real-time Constraints. - Laurens R. Lueg, Victor Alves, Daniel Schicksnus, John R. Kitchin, Carl D. Laird, Lorenz T. Biegler:
A Simultaneous Approach for Training Neural Differential-Algebraic Systems of Equations. - Alok Tripathy, Alina Lazar, Xiangyang Ju, Paolo Calafiura, Katherine A. Yelick, Aydin Buluç:
Scaling Graph Neural Networks for Particle Track Reconstruction. - Ujjaini Mukhopadhyay, Alok Tripathy, Oguz Selvitopi, Katherine A. Yelick, Aydin Buluç:
Sparsity-Aware Communication for Distributed Graph Neural Network Training. - Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour:
HypRL: Reinforcement Learning of Control Policies for Hyperproperties. - Bo Li, Jing Yun:
Dual Consistent Constraint via Disentangled Consistency and Complementarity for Multi-view Clustering. - Yiling Lin, Linzhuo Li, Lingfei Wu:
The Disruption Index Measures Displacement Between a Paper and Its Most Cited Reference. - Robert J. Hayek, Joaquin Chung, Kayla Comer, Chandra R. Murthy, Rajkumar Kettimuthu, Igor Kadota:
Federated Learning over 5G, WiFi, and Ethernet: Measurements and Evaluation. - Wanzhou Liu, Zhexiao Xiong, Xinyu Li, Nathan Jacobs:
DeclutterNeRF: Generative-Free 3D Scene Recovery for Occlusion Removal. - Peter Ince, Jiangshan Yu, Joseph K. Liu, Xiaoning Du:
Generative Large Language Model usage in Smart Contract Vulnerability Detection. - Rui Mao, Yongpeng Wu, Boxiao Shen, Symeon Chatzinotas, Björn E. Ottersten, Wenjun Zhang:
Grant-Free Random Access in Uplink LEO Satellite Communications with OFDM. - Yicheng Leng, Chaowei Fang, Junye Chen, Yixiang Fang, Sheng Li, Guanbin Li:
Bridging Knowledge Gap Between Image Inpainting and Large-Area Visible Watermark Removal. - Songyang Liu, Muyang Fan, Weizi Li, Jing Du, Shuai Li:
Large-Scale Mixed-Traffic and Intersection Control using Multi-agent Reinforcement Learning. - Yuren Mao, Yu Mi, Peigen Liu, Mengfei Zhang, Hanqing Liu, Yunjun Gao:
scAgent: Universal Single-Cell Annotation via a LLM Agent. - Martin Weyssow, Chengran Yang, Junkai Chen, Yikun Li, Huihui Huang, Ratnadira Widyasari, Han Wei Ang, Frank Liauw, Eng Lieh Ouh, Lwin Khin Shar, David Lo:
R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation. - Hyunseo Shin, Wonseok Hwang:
Causal Retrieval with Semantic Consideration. - Bowen Yin, Jiao-Long Cao, Ming-Ming Cheng, Qibin Hou:
DFormerv2: Geometry Self-Attention for RGBD Semantic Segmentation. - Bo Chen, Zhenmei Shi, Zhao Song, Jiahao Zhang:
Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent. - Mohammad Golam Kibria, Lauren Kucirka, Javed Mostafa:
Usability Testing of an Explainable AI-enhanced Tool for Clinical Decision Support: Insights from the Reflexive Thematic Analysis. - Manlai Liang, JiaMing Zhang, Xiong Li, Jinlong Li:
LagKV: Lag-Relative Information of the KV Cache Tells Which Tokens Are Important. - Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu:
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing. - Xiaolun Jing, Genke Yang, Jian Chu:
TC-MGC: Text-Conditioned Multi-Grained Contrastive Learning for Text-Video Retrieval. - Minchul Kim, Dingqiang Ye, Yiyang Su, Feng Liu, Xiaoming Liu:
SapiensID: Foundation for Human Recognition. - Kentaro Takahira, Wong Kam-Kwai, Leni Yang, Xian Xu, Takanori Fujiwara, Huamin Qu:
TangibleNet: Synchronous Network Data Storytelling through Tangible Interactions in Augmented Reality. - Alfath Daryl Alhajir, Jennifer Dodgson, Joseph Lim, Truong Ma Phi, Julian Peh, Akira Rafhael Janson Pattirane, Lokesh Poovaragan:
Generalising from Self-Produced Data: Model Training Beyond Human Constraints. - Yifei Yu, Qian-Wen Zhang, Lingfeng Qiao, Di Yin, Fang Li, Jie Wang, Zengxi Chen, Suncong Zheng, Xiaolong Liang, Xing Sun:
Sequential-NIAH: A Needle-In-A-Haystack Benchmark for Extracting Sequential Needles from Long Contexts. - Will Cai, Tianneng Shi, Xuandong Zhao, Dawn Song:
Are You Getting What You Pay For? Auditing Model Substitution in LLM APIs. - Haoren Zhao, Tianyi Chen, Zhen Wang:
On the Robustness of GUI Grounding Models Against Image Attacks. - Yubo Li, Xiaobin Shen, Xinyu Yao, Xueying Ding, Yidi Miao, Ramayya Krishnan, Rema Padman:
Beyond Single-Turn: A Survey on Multi-Turn Interactions with Large Language Models. - Minki Kang, Jongwon Jeong, Jaewoong Cho:
T1: Tool-integrated Self-verification for Test-time Compute Scaling in Small Language Models. - Adnan Khan, Alireza Choubineh, Mai A. Shaaban, Abbas Akkasi, Majid Komeili:
TactileNet: Bridging the Accessibility Gap with AI-Generated Tactile Graphics for Individuals with Vision Impairment. - Chu Zhao, Enneng Yang, Yuting Liu, Jianzhe Zhao, Guibing Guo, Xingwei Wang:
Can LLM-Driven Hard Negative Sampling Empower Collaborative Filtering? Findings and Potentials. - Sheng Zheng, Chaoning Zhang, Dongshen Han, Fachrina Dewi Puspitasari, Xinhong Hao, Yang Yang, Heng Tao Shen:
Exploring Kernel Transformations for Implicit Neural Representations. - Aniket Banerjee, Utsav Banerjee:
A High-Performance Curve25519 and Curve448 Unified Elliptic Curve Cryptography Accelerator. - Zhenxing Ming, Julie Stephany Berrio, Mao Shan, Stewart Worrall:
Inverse++: Vision-Centric 3D Semantic Occupancy Prediction Assisted with 3D Object Detection. - Jinhe Wen, Yingxi Zhao, Wenqian Xu, Yaxing Yao, Haojian Jin:
Teaching Data Science Students to Sketch Privacy Designs through Heuristics (Extended Technical Report). - Anna Goldie, Azalia Mirhoseini, Hao Zhou, Irene Cai, Christopher D. Manning:
Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use. - Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya:
TathyaNyaya and FactLegalLlama: Advancing Factual Judgment Prediction and Explanation in the Indian Legal Context. - Eklavya Sharma:
Automating the Search for Small Hard Examples to Approximation Algorithms. - Minwei Zhao, Sanja Scepanovic, Stephen Law, Daniele Quercia, Ivica Obadic:
MedGNN: Capturing the Links Between Urban Characteristics and Medical Prescriptions. - Samarth Mishra, Kate Saenko, Venkatesh Saligrama:
Enhancing Compositional Reasoning in Vision-Language Models with Synthetic Preference Data. - Xiongbo Lu, Yaxiong Chen, Shengwu Xiong:
AnyArtisticGlyph: Multilingual Controllable Artistic Glyph Generation. - He Zhu, Quyu Kong, Kechun Xu, Xunlong Xia, Bing Deng, Jieping Ye, Rong Xiong, Yue Wang:
Grounding 3D Object Affordance with Language Instructions, Visual Observations and Interactions. - Ankush Raut, Xiaofeng Zhu, Maria Leonor Pacheco:
Can LLMs Interpret and Leverage Structured Linguistic Representations? A Case Study with AMRs. - Yoojin Jung, Byung Cheol Song:
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models. - Dominik Kowald:
Investigating Popularity Bias Amplification in Recommender Systems Employed in the Entertainment Domain. - Cheng Chen, Jiacheng Wei, Tianrun Chen, Chi Zhang, Xiaofeng Yang, Shangzhan Zhang, Bingchen Yang, Chuan-Sheng Foo, Guosheng Lin, Qixing Huang, Fayao Liu:
CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images. - Inhwan Bae, Junoh Lee, Hae-Gon Jeon:
Continuous Locomotive Crowd Behavior Generation. - Giovanni Buzzega, Alessio Conte, Yasuaki Kobayashi, Kazuhiro Kurita, Giulia Punzi:
The Complexity of Maximal Common Subsequence Enumeration. - Hansung Choi, Daewon Seo:
Feature Importance-Aware Deep Joint Source-Channel Coding for Computationally Efficient and Adjustable Image Transmission. - Shyam Sundhar, Riya Sharma, Priyansh Maheshwari, Suvidha Rupesh Kumar, T. Sunil Kumar:
Enhancing Leaf Disease Classification Using GAT-GCN Hybrid Model. - Huijie Li, Yide Yu, Si Shi, Anmin Hu, Jian Huo, Wei Lin, Chaoran Wu, Wuman Luo:
Multi-Agent Deep Reinforcement Learning for Multiple Anesthetics Collaborative Control. - Yi Zhao, Jiaqi Li, Haitao Xia, Tianjiao Zhang, Zerong Zeng, Tianyu Ren, Yucheng Zhang, Chao Zhu, Shengtong Xu, Hongchun Yuan:
KunPeng: A Global Ocean Environmental Model. - Virgile Batto, Ludovic De Matteïs, Nicolas Mansard:
Extended URDF: Accounting for parallel mechanism in robot description. - Xuefeng Liu, Songhao Jiang, Chih-chan Tien, Jinbo Xu, Rick Stevens:
Bidirectional Hierarchical Protein Multi-Modal Representation Learning. - Leonardo Ranaldi, Federico Ranaldi, Fabio Massimo Zanzotto, Barry Haddow, Alexandra Birch:
Improving Multilingual Retrieval-Augmented Language Models through Dialectic Reasoning Argumentations. - Zahir Alsulaimawi:
Feedback-Enhanced Hallucination-Resistant Vision-Language Model for Real-Time Scene Understanding. - Khai Yi Chin, Carlo Pinciroli:
BayesCPF: Enabling Collective Perception in Robot Swarms with Degrading Sensors. - Chenxi Zhao, Daochang Wang, Siqian Zhang, Gangyao Kuang:
Bottom-Up Scattering Information Perception Network for SAR target recognition. - Chaoyi Wang, Baoqing Li, Xinhan Di:
OCC-MLLM-CoT-Alpha: Towards Multi-stage Occlusion Recognition Based on Large Language Models via 3D-Aware Supervision and Chain-of-Thoughts Guidance. - Mia Jacobsen, Ross Deans Kristensen-McLachlan:
I only read it for the plot! Maturity Ratings Affect Fanfiction Style and Community Engagement. - Tianyang Wu, Lipeng Wan, Yuhang Wang, Qiang Wan, Xuguang Lan:
Playing Non-Embedded Card-Based Games with Reinforcement Learning. - Hui Liu, Bin Zou, Suiyun Zhang, Kecheng Chen, Rui Liu, Haoliang Li:
Disentangling Instruction Influence in Diffusion Transformers for Parallel Multi-Instruction-Guided Image Editing. - Fan Nie, Lan Feng, Haotian Ye, Weixin Liang, Pan Lu, Huaxiu Yao, Alexandre Alahi, James Zou:
Weak-for-Strong: Training Weak Meta-Agent to Harness Strong Executors. - Mengxuan Wu, Zekai Li, Zhiyuan Liang, Moyang Li, Xuanlei Zhao, Samir Khaki, Zheng Zhu, Xiaojiang Peng, Konstantinos N. Plataniotis, Kai Wang, Wangbo Zhao, Yang You:
Dynamic Vision Mamba. - Zhuoning Xu, Jian Xu, Mingqing Zhang, Peijie Wang, Chao Deng, Cheng-Lin Liu:
Multimodal Agricultural Agent Architecture (MA3): A New Paradigm for Intelligent Agricultural Decision-Making. - Nishant Jagannath, Christopher Wong, Braden McGrath, Md. Farhad Hossain, Asuquo A. Okon, Abbas Jamalipour, Kumudu S. Munasinghe:
Enhancing Trust in AI Marketplaces: Evaluating On-Chain Verification of Personalized AI models using zk-SNARKs. - Jin Liu, Jialong Xie, Leibing Xiao, Chaoqun Wang, Fengyu Zhou:
Embodied Perception for Test-time Grasping Detection Adaptation with Knowledge Infusion. - Jacob Si, Zijing Ou, Mike Qu, Zhengrui Xiang, Yingzhen Li:
TabRep: Training Tabular Diffusion Models with a Simple and Effective Continuous Representation. - Maosheng Yang:
Topological Schrödinger Bridge Matching. - Jinhong Wang, Shuo Tong, Jian liu, Dongqi Tang, Weiqiang Wang, Wentong Li, Hongxia Xu, Danny Ziyi Chen, Jintai Chen, Jian Wu:
OrderChain: A General Prompting Paradigm to Improve Ordinal Understanding Ability of MLLM. - Piotr Przymus, Mikolaj Fejzer, Jakub Narebski, Krzysztof Rykaczewski, Krzysztof Stencel:
Out of Sight, Still at Risk: The Lifecycle of Transitive Vulnerabilities in Maven. - Yuanpei Liu, Kai Han:
DebGCD: Debiased Learning with Distribution Guidance for Generalized Category Discovery. - Tengjun Jin, Yuxuan Zhu, Daniel Kang:
ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines. - Liuji Chen, Hao Gao, Jinghao Zhang, Qiang Liu, Shu Wu, Liang Wang:
Select Me! When You Need a Tool: A Black-box Text Attack on Tool Selection. - Piotr Przymus, Mikolaj Fejzer, Jakub Narebski, Radoslaw Wozniak, Lukasz Halada, Aleksander Kazecki, Mykhailo Molchanov, Krzysztof Stencel:
HaPy-Bug - Human Annotated Python Bug Resolution Dataset. - Eleonora Grassucci, Gualtiero Grassucci, Aurelio Uncini, Danilo Comminiello:
Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education. - Zuying Xie, Changtao Miao, Ajian Liu, Jiabao Guo, Feng Li, Dan Guo, Yunfeng Diao:
SUEDE:Shared Unified Experts for Physical-Digital Face Attack Detection Enhancement. - Timo Brand, Daniel Faber, Stephan Held, Petra Mutzel:
A Customized SAT-based Solver for Graph Coloring. - Ruikang Liu, Yuxuan Sun, Manyi Zhang, Haoli Bai, Xianzhi Yu, Tiezheng Yu, Chun Yuan, Lu Hou:
Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models. - Alain Blaustein, Giacomo Dimarco, Francis Filbet, Marie Hélène Vignal:
A structure and asymptotic preserving scheme for the quasineutral limit of the Vlasov-Poisson system. - Long Ma, Zhiyuan Yan, Yize Chen, Jin Xu, Qinglang Guo, Hu Huang, Yong Liao, Hui Lin:
From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes. - Wenzhong Yan, Feng Yin, Jun Gao, Ao Wang, Yang Tian, Ruizhi Chen:
Attentional Graph Meta-Learning for Indoor Localization Using Extremely Sparse Fingerprints. - Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Niloy J. Mitra:
SMF: Template-free and Rig-free Animation Transfer using Kinetic Codes. - Andrea Esposito, Miriana Calvano, Antonio Curci, Francesco Greco, Rosa Lanzilotti, Antonio Piccinno:
Explanation-Driven Interventions for Artificial Intelligence Model Customization: Empowering End-Users to Tailor Black-Box AI in Rhinocytology. - Pengju Sun, Banglei Guan, Zhenbao Yu, Yang Shang, Qifeng Yu, Daniel Barath:
Learning Affine Correspondences by Integrating Geometric Constraints. - Shanshan Wang, Haixiang Xu, Hui Feng, Xiaoqian Wang, Pei Song, Sijie Liu, Jianhua He:
Inland Waterway Object Detection in Multi-environment: Dataset and Approach. - Hareshkumar Jadav, Sreekara Madyastha, Rahul Raut, Ranveer Singh:
Strengthening Wilf's lower bound on clique number. - Zhi Zuo, Chenyi Zhuang, Zhiqiang Shen, Pan Gao, Jie Qin:
Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos. - Zhaofeng Shi, Heqian Qiu, Lanxiao Wang, Qingbo Wu, Fanman Meng, Hongliang Li:
Unsupervised Ego- and Exo-centric Dense Procedural Activity Captioning via Gaze Consensus Adaptation. - Sebastian Schmidt, Julius Körner, Dominik Fuchsgruber, Stefano Gasperini, Federico Tombari, Stephan Günnemann:
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation. - Mengchao Wang, Qiang Wang, Fan Jiang, Yaqi Fan, Yunpeng Zhang, Yonggang Qi, Kun Zhao, Mu Xu:
FantasyTalking: Realistic Talking Portrait Generation via Coherent Motion Synthesis. - Yizhou Dang, Yuting Liu, Enneng Yang, Minhan Huang, Guibing Guo, Jianzhe Zhao, Xing-Wei Wang:
Data Augmentation as Free Lunch: Exploring the Test-Time Augmentation for Sequential Recommendation. - Zhicong Sun, Jacqueline Lo, Jinxing Hu:
Embracing Dynamics: Dynamics-aware 4D Gaussian Splatting SLAM. - Cornelia Schneider, Mario Ullrich, Jan Vybíral:
Nonlocal techniques for the analysis of deep ReLU neural network approximations. - Sam Kirkham:
Discovering dynamical laws for speech gestures. - Ángel Aso-Mollar, Eva Onaindia:
An Efficient Approach for Cooperative Multi-Agent Learning Problems. - Julio Careaga, Stefan Diehl, Jaime Manríquez:
An invariant-region-preserving scheme for a convection-reaction-Cahn-Hilliard multiphase model of biofilm growth in slow sand filters. - Haoxuan Li, Mingyu Derek Ma, Jen-tse Huang, Zhaotian Weng, Wei Wang, Jieyu Zhao:
BIASINSPECTOR: Detecting Bias in Structured Data through LLM Agents. - Isha Sharma, Dieter Schmalstieg:
3D Gaussian Particle Approximation of VDB Datasets: A Study for Scientific Visualization. - Roie Kazoom, Raz Lapid, Moshe Sipper, Ofer Hadar:
Don't Lag, RAG: Training-Free Adversarial Detection Using RAG. - Hanyu Chu, Luca Franco Pavarino, Stefano Zampini:
Block BDDC/FETI-DP Preconditioners for Three-Field mixed finite element Discretizations of Biot's consolidation model. - Hongtao Wang, Renchi Yang, Hewen Wang, Haoran Zheng, Jianliang Xu:
SAFT: Structure-aware Transformers for Textual Interaction Classification. - Yunxiang Liu, Hongkuo Niu, Jianlin Zhu:
GAMDTP: Dynamic Trajectory Prediction with Graph Attention Mamba Network. - Ziqing Guo, Binh H. Nguyen, Hamed Hamzehbahmani, Ruth V. Sabariego:
Dynamic hysteresis model of grain-oriented ferromagnetic material using neural operators. - Xingyu Lan, Jiaxi An, Yisu Guo, Chiyou Tong, Xintong Cai, Jun Zhang:
Imagining the Far East: Exploring Perceived Biases in AI-Generated Images of East Asian Women. - Ming-Lun Lee, Han-Chang Chou, Yan-Ann Chen:
FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing. - Christian Neurohr, Lukas Westhofen, Tjark Koopmann, Eike Möhlmann, Eckard Böde, Axel Hahn:
On Scenario Formalisms for Automated Driving. - Gang Wu, Junjun Jiang, Kui Jiang, Xianming Liu:
Content-Aware Transformer for All-in-one Image Restoration. - Yifan Xie, Julian Berberich, Robin Strässer, Frank Allgöwer:
Bilinear Data-Driven Min-Max MPC: Designing Rational Controllers via Sum-of-squares Optimization. - Georg Ahnert, Elena Wurth, Markus Strohmaier, Jutta Mata:
Simulating Persuasive Dialogues on Meat Reduction with Generative Agents. - Christos P. Lamprakos, Panagiotis Xanthopoulos, Manolis Katsaragakis, Sotirios Xydis, Dimitrios Soudris, Francky Catthoor:
Futureproof Static Memory Planning. - Viktor Beck, Max Landauer, Markus Wurzenberger, Florian Skopik, Andreas Rauber:
SoK: LLM-based Log Parsing. - Jonas Mair, Lukas Schwenkel, Matthias Albrecht Müller, Frank Allgöwer:
The Cesàro Value Iteration. - Longdi Xian, Jianzhang Ni, Mingzhu Wang:
Leveraging Large Language Models for Cost-Effective, Multilingual Depression Detection and Severity Assessment. - Justus Westerhoff, Erblina Purelku, Jakob Hackstein, Leo Pinetzki, Lorenz Hufe:
SCAM: A Real-World Typographic Robustness Evaluation for Multimodal Foundation Models. - Augustine O. Nwajana, Mosammat Rokaiya Akter, Muhammad Asfar Saeed:
Asymmetric 4.77 Three-Way Unequal Filtering Power Divider/Combiner for Communication Systems Application. - Muhammad Asfar Saeed, Augustine O. Nwajana, Muneeb Ahmad:
Design of a compact low loss 2-way millimetre wave power divider for future communication. - Yuandong Pu, Le Zhuo, Kaiwen Zhu, Liangbin Xie, Wenlong Zhang, Xiangyu Chen, Peng Gao, Yu Qiao, Chao Dong, Yihao Liu:
Lumina-OmniLV: A Unified Multimodal Framework for General Low-Level Vision. - Hui Han, Siyuan Li, Jiaqi Chen, Yiwen Yuan, Yuling Wu, Chak Tou Leong, Hanwen Du, Junchen Fu, Youhua Li, Jie Zhang, Chi Zhang, Li-jia Li, Yongxin Ni:
Video-Bench: Human-Aligned Video Generation Benchmark. - Jiong Jin, Zhibo Pang, Jonathan Kua, Quanyan Zhu, Karl Henrik Johansson, Nikolaj Marchenko, Dave Cavalcanti:
Cloud-Fog Automation: The New Paradigm towards Autonomous Industrial Cyber-Physical Systems. - Llewyn Salt, Marcus Gallagher:
AlgOS: Algorithm Operating System. - Daniel Selvaratnam, Alessio Moreschini, Amritam Das, Thomas Parisini, Henrik Sandberg:
Fault Localisation in Infinite-Dimensional Linear Electrical Networks. - Ziyun Liang, Xiaoqing Guo, Wentian Xu, Yasin Ibrahim, Natalie Voets, Pieter M. Pretorius, J. Alison Noble, Konstantinos Kamnitsas:
IterMask3D: Unsupervised Anomaly Detection and Segmentation with Test-Time Iterative Mask Refinement in 3D Brain MR. - Ran Xu, Wenqi Shi, Yuchen Zhuang, Yue Yu, Joyce C. Ho, Haoyu Wang, Carl Yang:
Collab-RAG: Boosting Retrieval-Augmented Generation for Complex Question Answering via White-Box and Black-Box LLM Collaboration. - Akanksha Jaiswal, Arpan Chattopadhyay:
Age-of-information minimization under energy harvesting and non-stationary environment. - Xue Zhang:
Constitution or Collapse? Exploring Constitutional AI with Llama 3-8B. - Katja Karhu, Jussi Kasurinen, Kari Smolander:
Expectations vs Reality - A Secondary Study on AI Adoption in Software Testing. - Changqing Su, Yanqin Chen, Zihan Lin, Zhen Cheng, You Zhou, Bo Xiong, Zhaofei Yu, Tie-Jun Huang:
Inter-event Interval Microscopy for Event Cameras. - Danial Amin, Joni Salminen, Farhan Ahmed, Sonja M. H. Tervola, Sankalp Sethi, Bernard J. Jansen:
How Is Generative AI Used for Persona Development?: A Systematic Review of 52 Research Articles. - Dominik Bell, Martin Campos Pinto, Stefan Possanner, Eric Sonnendrücker:
The Linearized Vlasov-Maxwell System as a Hamiltonian System. - Veronica Lachi, Antonio Longa, Beatrice Bevilacqua, Bruno Lepri, Andrea Passerini, Bruno Ribeiro:
Boosting Relational Deep Learning with Pretrained Tabular Models. - Peng Liu, Heng-Chao Li, Sen Lei, Nanqing Liu, Bin Feng, Xiao Wu:
RCCFormer: A Robust Crowd Counting Network Based on Transformer. - Jiayun Li, Kay Pompetzki, An T. Le, Haolei Tong, Jan Peters, Georgia Chalvatzaki:
Constrained Gaussian Process Motion Planning via Stein Variational Newton Inference. - Aurora Haraldsen, Josef Matous, Kristin Y. Pettersen:
Hybrid Control Barrier Functions for Nonholonomic Multi-Agent Systems. - Naoki Wake, Atsushi Kanehira, Kazuhiro Sasabuchi, Jun Takamatsu, Katsushi Ikeuchi:
A Taxonomy of Self-Handover. - Yousef Alhessi, Sólrún Halla Einarsdóttir, George Granberry, Emily First, Moa Johansson, Sorin Lerner, Nicholas Smallbone:
Lemmanaid: Neuro-Symbolic Lemma Conjecturing. - Rean Fernandes, André Biedenkapp, Frank Hutter, Noor H. Awad:
A Llama walks into the 'Bar': Efficient Supervised Fine-Tuning for Legal Reasoning in the Multi-state Bar Exam. - Linwei Zhai, Han Ding, Cui Zhao, Fei Wang, Ge Wang, Wang Zhi, Wei Xi:
One Quantizer is Enough: Toward a Lightweight Audio Codec. - Wenyuan Xu, Xiaochen Zuo, Chao Xin, Yu Yue, Lin Yan, Yonghui Wu:
A Unified Pairwise Framework for RLHF: Bridging Generative Reward Modeling and Policy Optimization. - Markus Bause, Marius Paul Bruchhäuser, Bernhard Endtmayer, Nils Margenberg, Ioannis Toulopoulos, Thomas Wick:
Anisotropic space-time goal-oriented error control and mesh adaptivity for convection-diffusion-reaction equations. - José Pombal, Dongkeun Yoon, Patrick Fernandes, Ian Wu, Seungone Kim, Ricardo Rei, Graham Neubig, André F. T. Martins:
M-Prometheus: A Suite of Open Multilingual LLM Judges. - Aditya Hemant Shahane, Prathosh A. P, Sandeep Kumar:
GOTHAM: Graph Class Incremental Learning Framework under Weak Supervision. - Jihyun Lee, Weipeng Xu, Alexander Richard, Shih-En Wei, Shunsuke Saito, Shaojie Bai, Te-Li Wang, Minhyuk Sung, Tae-Kyun Kim, Jason M. Saragih:
REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning. - Sascha Rechenberger, Thom W. Frühwirth:
A refined operational semantics for FreeCHR. - Yuzhe Zhang, Min Cen, Hong Zhang:
Constraint Multi-class Positive and Unlabeled Learning for Distantly Supervised Named Entity Recognition. - Shion Fukuhata, Yoshinobu Kano:
Few Dimensions are Enough: Fine-tuning BERT with Selected Dimensions Revealed Its Redundant Nature. - Pedro Chávez Barrios, Davy Monticolo, Sahbi Sidhom:
Using AI to Help in the Semantic Lexical Database to Evaluate Ideas. - Jiayang Huang, Lingjie Li, Kang Zhang, David Yip:
The Dream Within Huang Long Cave: AI-Driven Interactive Narrative for Family Storytelling and Emotional Reflection. - Edoardo Del Bianco, Davide Torielli, Federico Rollo, Damiano Gasperini, Arturo Laurenzi, Lorenzo Baccelliere, Luca Muratore, Marco Roveri, Nikos G. Tsagarakis:
A High-Force Gripper with Embedded Multimodal Sensing for Powerful and Perception Driven Grasping. - Qian Zuo, Fengxiang He:
Ensuring Safety in an Uncertain Environment: Constrained MDPs via Stochastic Thresholds. - Ming Li, Ruiyi Zhang, Jian Chen, Jiuxiang Gu, Yufan Zhou, Franck Dernoncourt, Wanrong Zhu, Tianyi Zhou, Tong Sun:
Towards Visual Text Grounding of Multimodal Large Language Model. - Carlos Peláez-González, Andrés Herrera-Poyatos, Cristina Zuheros, David Herrera-Poyatos, Virilo Tejedor, Francisco Herrera:
A Domain-Based Taxonomy of Jailbreak Vulnerabilities in Large Language Models. - Sohyun Lee, Nayeong Kim, Juwon Kang, Seong Joon Oh, Suha Kwak:
DiCoTTA: Domain-invariant Learning for Continual Test-time Adaptation. - Zhiwei Cao, Minghao Li, Feng Lin, Jimin Jia, Yonggang Wen, Jianxiong Yin, Simon See:
Transforming Future Data Center Operations and Management via Physical AI. - Nadzieja Hodur, Monika Pilsniak, Magdalena Prorok, Pawel Rzazewski:
Finding large k-colorable induced subgraphs in (bull, chair)-free and (bull,E)-free graphs. - Congcong Wen, Yiting Lin, Xiaokang Qu, Nan Li, Yong Liao, Hui Lin, Xiang Li:
RS-RAG: Bridging Remote Sensing Imagery and Comprehensive Knowledge with a Multi-Modal Dataset and Retrieval-Augmented Generation Model. - Malihe Nobakht Kooshkghazi, Salman Ahmadi-Asl, Andre L. F. de Almeida:
Randomized block Krylov method for approximation of truncated tensor SVD. - Changchuan Yang, Yuhang Dong, Guanzhong Tian, Haizhou Ge, Hongrui Zhu:
Wavelet Policy: Imitation Policy Learning in Frequency Domain with Wavelet Transforms. - Ling Hu, Yuemei Xu, Xiaoyang Gu, Letao Han:
Following the Whispers of Values: Unraveling Neural Mechanisms Behind Value-Oriented Behaviors in LLMs. - Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikolaos G. Tsagarakis:
CONCERT: a Modular Reconfigurable Robot for Construction. - Jiuyang Bu, Wenkai Li, Zongwei Li, Zeng Zhang, Xiaoqi Li:
SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode. - Jiuyang Bu, Wenkai Li, Zongwei Li, Zeng Zhang, Xiaoqi Li:
Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM. - Stefan Buijsman, Herman Veluwenkamp:
Measuring the right thing: justifying metrics in AI impact assessments. - Anastasiia Ivanova, Natalia Fedorova, Sergey Tilga, Ekaterina Artemova:
Surveying Professional Writers on AI: Limitations, Expectations, and Fears. - Huw Cheston, Reuben Bance, Peter M. C. Harrison:
Deconstructing Jazz Piano Style Using Machine Learning. - Roland Guttenberg, Eren Keskin, Roland Meyer:
PVASS Reachability is Decidable. - Bibek Poudel, Xuan Wang, Weizi Li, Lei Zhu, Kevin Heaslip:
Joint Pedestrian and Vehicle Traffic Optimization in Urban Environments using Reinforcement Learning. - Ngoc Bui, Hieu Trung Nguyen, Shantanu Kumar, Julian Theodore, Weikang Qiu, Viet Anh Nguyen, Rex Ying:
Mixture-of-Personas Language Models for Population Simulation. - Charco Hui, Yalu Wen:
Batch Aggregation: An Approach to Enhance Text Classification with Correlated Augmented Data. - Bingcheng Hu, Lixiang Jin, Zhaoxiang Li:
Solving the fully nonlinear Monge-Ampère equation using the Legendre-Kolmogorov-Arnold Network method. - Antonia Holzapfel, Andres Felipe Posada-Moreno, Sebastian Trimpe:
Concept Extraction for Time Series with ECLAD-ts. - Martin Eigel, Cosmas Heiß, Janina E. Schütte:
Multi-level Neural Networks for high-dimensional parametric obstacle problems. - Xuan Zhang, Xiang Deng, Hongxing Yuan, Chunyu Wei, Yushun Fan:
Graph-based Diffusion Model for Collaborative Filtering. - Wang Tang, Fethiye Irmak Dogan, Linbo Qing, Hatice Gunes:
AsyReC: A Multimodal Graph-based Framework for Spatio-Temporal Asymmetric Dyadic Relationship Classification. - Jay Kamat, Júlia Borràs, Carme Torras:
CloSE: A Compact Shape- and Orientation-Agnostic Cloth State Representation. - Tom Gustafsson, Antti Hannukainen, Vili Kohonen, Juha H. Videman:
Hybrid Nitsche for distributed computing. - Haiwan Wei, Yitian Yuan, Xiaohan Lan, Wei Ke, Lin Ma:
InstructionBench: An Instructional Video Understanding Benchmark. - Hang Yu, Renjie Li:
Segmented Trajectory Optimization for Autonomous Parking in Unstructured Environments. - Huilin Yin, Zhikun Yang, Linchuan Zhang, Daniel Watzenig:
Attention-Augmented Inverse Reinforcement Learning with Graph Convolutions for Multi-Agent Task Allocation. - Shenghao Ren, Yi Lu, Jiayi Huang, Jiayi Zhao, He Zhang, Tao Yu, Qiu Shen, Xun Cao:
MotionPRO: Exploring the Role of Pressure in Human MoCap and Beyond. - Sugyeong Eo, Hyeonseok Moon, Evelyn Hayoon Zi, Chanjun Park, Heuiseok Lim:
Debate Only When Necessary: Adaptive Multiagent Collaboration for Efficient LLM Reasoning. - Shuai Chen, Fanman Meng, Haoran Wei, Chenhao Wu, Qingbo Wu, Linfeng Xu, Hongliang Li:
CMaP-SAM: Contraction Mapping Prior for SAM-driven Few-shot Segmentation. - Jiawei Lian, Jianhong Pan, Lefan Wang, Yi Wang, Shaohui Mei, Lap-Pui Chau:
Revealing the Intrinsic Ethical Vulnerability of Aligned Large Language Models. - Davide Zorzenon, Jörg Raisch:
Infinite precedence graphs for consistency verification in P-time event graphs. - Aravind Krishnan, Siva Reddy, Marius Mosbach:
Not All Data Are Unlearned Equally. - Chandra Raskoti, Iftekharul Islam, Xuan Wang, Weizi Li:
MIAT: Maneuver-Intention-Aware Transformer for Spatio-Temporal Trajectory Prediction. - Chenfeng Xu:
LDGNet: A Lightweight Difference Guiding Network for Remote Sensing Change Detection. - Alessandro Abate, Mirco Giacobbe, Diptarko Roy:
Quantitative Supermartingale Certificates. - Victor Monzon Baeza, Raúl Parada, Laura Concha Salor, Carlos Monzo:
AI-Driven Tactical Communications and Networking for Defense: A Survey and Emerging Trends. - Venkat Srinivasan, Vishaal Jatav, Anushka Chandrababu, Geetika Sharma:
On the Performance of an Explainable Language Model on PubMedQA. - Jie Wang, Tingfa Xu, Lihe Ding, Xinjie Zhang, Long Bai, Jianan Li:
PvNeXt: Rethinking Network Design and Temporal Motion for Point Cloud Video Recognition. - Shuai Liu, Qingyu Mao, Chao Li, Jiacong Chen, Fanyang Meng, Yonghong Tian, Yongsheng Liang:
Content-Distortion High-Order Interaction for Blind Image Quality Assessment. - Piotr Kica, Michal Orzechowski, Maciej Malawski:
Serverless Approach to Running Resource-Intensive STAR Aligner. - Tianshi Zheng, Yixiang Chen, Chengxi Li, Chunyang Li, Qing Zong, Haochen Shi, Baixuan Xu, Yangqiu Song, Ginny Y. Wong, Simon See:
The Curse of CoT: On the Limitations of Chain-of-Thought in In-Context Learning. - Eran Beeri Bamani, Eden Nissinman, Rotem Atari, Nevo Heimann Saadon, Avishai Sintov:
Speech-to-Trajectory: Learning Human-Like Verbal Guidance for Robot Motion. - Johannes Dollinger, Damien Robert, Elena Plekhanova, Lukas Drees, Jan Dirk Wegner:
Climplicit: Climatic Implicit Embeddings for Global Ecological Tasks. - Suhyeon Lee:
Hollow Victory: How Malicious Proposers Exploit Validator Incentives in Optimistic Rollup Dispute Games. - Liu Xiao, Li Zhiyuan, Lin Yueyu:
State Tuning: State-based Test-Time Scaling on RWKV-7. - Jeff Erickson, Christian Howard:
Shelling and Sinking Graphs on the Sphere. - Filippos N. Tzortzoglou, Logan E. Beaver, Andreas A. Malikopoulos:
Safe and Efficient Coexistence of Autonomous Vehicles with Human-Driven Traffic at Signalized Intersections. - Shouyi Lu, Guirong Zhuo, Haitao Wang, Quan Zhou, Huanyu Zhou, Renbo Huang, Minqing Huang, Lianqing Zheng, Qiang Shu:
TDFANet: Encoding Sequential 4D Radar Point Clouds Using Trajectory-Guided Deformable Feature Aggregation for Place Recognition. - Saeid Ario Vaghefi, Aymane Hachcham, Veronica Grasso, Jiska Manicus, Nakiete Msemo, Chiara Colesanti Senni, Markus Leippold:
AI for Climate Finance: Agentic Retrieval and Multi-Step Reasoning for Early Warning System Investments. - Stephen Brade, Sam Anderson, Rithesh Kumar, Zeyu Jin, Anh Truong:
SpeakEasy: Enhancing Text-to-Speech Interactions for Expressive Content Creation. - Baosheng Li, Weifeng Gao, Zehui Xiong, Jin Xie, Binquan Guo, Miao Du:
Decentralized Semantic Federated Learning for Real-Time Public Safety Tasks: Challenges, Methods, and Directions. - Anja Surina, Amin Mansouri, Lars Quaedvlieg, Amal Seddas, Maryna Viazovska, Emmanuel Abbe, Caglar Gulcehre:
Algorithm Discovery With LLMs: Evolutionary Search Meets Reinforcement Learning. - Ronghui Zhang, Dakang Lyu, Tengfei Li, Yunfan Wu, Ujjal Manandhar, Benfei Wang, Junzhou Chen, Bolin Gao, Danwei Wang, Yiqiu Tan:
ABCDWaveNet: Advancing Robust Road Ponding Detection in Fog through Dynamic Frequency-Spatial Synergy. - Luca Barbaro, Giovanni Varricchione, Marco Montali, Claudio Di Ciccio:
From Sound Workflow Nets to LTLf Declarative Specifications by Casting Three Spells. - Yu Yue, Yufeng Yuan, Qiying Yu, Xiaochen Zuo, Ruofei Zhu, Wenyuan Xu, Jiaze Chen, Cheng-Xiang Wang, Tiantian Fan, Zhengyin Du, Xiangpeng Wei, Xiangyu Yu, Gaohong Liu, Juncai Liu, Lingjun Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Ru Zhang, Xin Liu, Mingxuan Wang, Yonghui Wu, Lin Yan:
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks. - Jon Gutiérrez-Zaballa, Koldo Basterretxea, Javier Echanobe:
Balancing Robustness and Efficiency in Embedded DNNs Through Activation Function Selection. - Xinglin Lyu, Wei Tang, Yuang Li, Xiaofeng Zhao, Ming Zhu, Junhui Li, Yunfei Lu, Min Zhang, Daimeng Wei, Hao Yang, Min Zhang:
DoCIA: An Online Document-Level Context Incorporation Agent for Speech Translation. - Silvano Pitassi:
Generators of H1(Γ, ∂Γc) with ∂Γc ⊂ ∂Γ for Triangulated Surfaces Γ: Construction and Classification of Global Loops. - Suhang Gu, Ye Wang, Yongxin Chou, Jinliang Cong, Mingli Lu, Zhuqing Jiao:
Interpretable Style Takagi-Sugeno-Kang Fuzzy Clustering. - Jiamei Xiong, Xuefeng Yan, Yongzhen Wang, Wei Zhao, Xiao-Ping (Steven) Zhang, Mingqiang Wei:
DA2Diff: Exploring Degradation-aware Adaptive Diffusion Priors for All-in-One Weather Restoration. - Jinxiang Lai, Wenlong Wu, Jiawei Zhan, Jian Li, Bin-Bin Gao, Jun Liu, Jie Zhang, Song Guo:
BoxSeg: Quality-Aware and Peer-Assisted Learning for Box-supervised Instance Segmentation. - Haoran Zhang, Zejun Gong, Zekai Li, Marie Siew, Carlee Joe-Wong, Rachid El Azouzi:
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning. - Shuai Han, Lukas Stelz, Thomas R. Sokolowski, Kai Zhou, Horst Stöcker:
Unifying Physics- and Data-Driven Modeling via Novel Causal Spatiotemporal Graph Neural Network for Interpretable Epidemic Forecasting. - Bingyang Wang, Kaer Huang, Bin Li, Yiqiang Yan, Lihe Zhang, Huchuan Lu, You He:
EffOWT: Transfer Visual Language Models to Open-World Tracking Efficiently and Effectively. - Nektarios Evangelou, Rowdy Chotkan, Bulat Nasrulin, Jérémie Decouchant:
Taming Double-Spending in Offline Payments with Reputation-Weighted Loan Networks. - David Elsweiler, Samy Ateia, Markus Bink, Gregor Donabauer, Marcos Fernández-Pichel, Alexander Frummet, Udo Kruschwitz, David E. Losada, Bernd Ludwig, Selina Meyer, Noel Pascual-Presa:
Query Smarter, Trust Better? Exploring Search Behaviours for Verifying News Accuracy. - Amrita Roy Chowdhury, David Glukhov, Divyam Anshumaan, Prasad Chalasani, Nicolas Papernot, Somesh Jha, Mihir Bellare:
Prεεmpt: Sanitizing Sensitive Prompts for LLMs. - Yasuhiro Yao, Ryoichi Ishikawa, Takeshi Oishi:
Stereo-LiDAR Fusion by Semi-Global Matching With Discrete Disparity-Matching Cost and Semidensification. - Arash Ghaani Farashahi, Gregory S. Chirikjian:
Fast Convolutions on ℤ2∖ SE(2) via Radial Translational Dependence and Classical FFT. - Leonardo Kanashiro Felizardo, Edoardo Fadda, Paolo Brandimarte, Emilio Del-Moral-Hernandez, Mariá Cristina Vasconcelos Nascimento:
A Reinforcement Learning Method for Environments with Stochastic Variables: Post-Decision Proximal Policy Optimization with Dual Critic Networks. - Stefano Massei, Leonardo Robol:
Error formulas for block rational Krylov approximations of matrix functions. - Zhexiao Xiong, Zhang Chen, Zhong Li, Yi Xu, Nathan Jacobs:
PanoDreamer: Consistent Text to 360-Degree Scene Generation. - Adriano Guastella, Lorenzo Sani, Alex Iacob, Alessio Mora, Paolo Bellavista, Nicholas D. Lane:
SparsyFed: Sparse Adaptive Federated Training. - Geyang Guo, Tarek Naous, Hiromi Wakaki, Yukiko Nishimura, Yuki Mitsufuji, Alan Ritter, Wei Xu:
CARE: Aligning Language Models for Regional Cultural Awareness. - Kerstin Mayerhofer, Rob Capra, David Elsweiler:
Blending Queries and Conversations: Understanding Tactics, Trust, Verification, and System Choice in Web Search and Chat Interactions. - Xuechun Shao, Yinfeng Yu, Liejun Wang:
Leveraging Label Potential for Enhanced Multimodal Emotion Recognition. - Wilmar Bolaños, Antti Haavikko, Rodrigo Martín Sánchez-Ledesma:
A Fast Multiplication Algorithm and RLWE-PLWE Equivalence for the Maximal Real Subfield of the 2r ps-th Cyclotomic Field. - Dongzhuoran Zhou, Yuqicheng Zhu, Yuan He, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab:
Evaluating Knowledge Graph Based Retrieval Augmented Generation Methods under Knowledge Incompleteness. - Xingyu Hu, Junjun Jiang, Chenyang Wang, Kui Jiang, Xianming Liu, Jiayi Ma:
Balancing Task-invariant Interaction and Task-specific Adaptation for Unified Image Fusion. - Mingcan Wang, Junchang Xin, Luxuan Qu, Qi Chen, Zhiqiong Wang:
RLBayes: a Bayesian Network Structure Learning Algorithm via Reinforcement Learning-Based Search Strategy. - Bonan Ding, Jin Xie, Jing Nie, Jiale Cao:
SSLFusion: Scale & Space Aligned Latent Fusion Model for Multimodal 3D Object Detection. - Yue Wang, Holger Class:
A hydro-geomechanical porous-media model to study effects of engineered carbonate precipitation in faults. - Guangqiang Li, M. Amine Atoui, Xiangshun Li:
Attention-Based Multiscale Temporal Fusion Network for Uncertain-Mode Fault Diagnosis in Multimode Processes. - Julian Haas, Ragnar Mogk, Annette Bieniusa, Mira Mezini:
PRDTs: Composable Knowledge-Based Consensus Protocols with Replicated Data Types. - Veronica Sanz:
Learning symmetries in datasets. - Mohamed Benzaghta, Giovanni Geraci, David López-Pérez, Alvaro Valcarce:
Cellular Network Design for UAV Corridors via Data-driven High-dimensional Bayesian Optimization. - Hao Fang, Runmin Cong, Xiankai Lu, Zhiyang Chen, Wei Zhang:
The 1st Solution for 4th PVUW MeViS Challenge: Unleashing the Potential of Large Multimodal Models for Referring Video Segmentation. - Wei Li, Yang Zou, Christopher Ellis, Ruben Purdy, R. D. (Shawn) Blanton, José M. F. Moura:
BRIDGES: Bridging Graph Modality and Large Language Models within EDA Tasks. - Kidist Amde Mekonnen, Yubao Tang, Maarten de Rijke:
Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval. - Samuel Bonello, Rachel G. de Jong, Thomas H. W. Bäck, Frank W. Takes:
Utility-aware Social Network Anonymization using Genetic Algorithms. - Rayan Merghani Ahmed, Adnan Iltaf, Bin Li, Shoujun Zhou:
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation. - Mehdi Fatemi, Banafsheh Rafiee, Mingjie Tang, Kartik Talamadupula:
Concise Reasoning via Reinforcement Learning. - Mikhail Karasikov, Joost van Doorn, Nicolas Känzig, Melis Erdal Cesur, Hugo Mark Horlings, Robert B. West, Fei Tang, Sebastian Otálora:
Training state-of-the-art pathology foundation models with orders of magnitude less data. - Yu Min Park, Yan Kyaw Tun, Walid Saad, Choong Seon Hong:
Resource-Efficient Beam Prediction in mmWave Communications with Multimodal Realistic Simulation Framework. - Alkida Balliu, Filippo Casagrande, Francesco D'Amore, Massimo Equi, Barbara Keller, Henrik Lievonen, Dennis Olivetti, Gustav Schmid, Jukka Suomela:
Distributed Quantum Advantage in Locally Checkable Labeling Problems. - Yong Ren, Jiangyan Yi, Tao Wang, Jianhua Tao, Zhengqi Wen, Chenxing Li, Zheng Lian, Ruibo Fu, Ye Bai, Xiaohui Zhang:
P2Mark: Plug-and-play Parameter-intrinsic Watermarking for Neural Speech Generation. - Jared Frazier, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers:
3D Universal Lesion Detection and Tagging in CT with Self-Training. - Charlie Harrison, Pasin Manurangsi:
Infinitely Divisible Noise for Differential Privacy: Nearly Optimal Error in the High ϵ Regime. - Seung Yeob Shin, Fabrizio Pastore, Domenico Bianculli:
Quantum Program Linting with LLMs: Emerging Results from a Comparative Study. - Sean C. Rife, Joshua M. Nicholson, Beatriz Bosques, Domenic Rosati, Ashish Uppala, Igor A. Osipov:
Content-aware rankings: a new approach to rankings in scholarship. - Alexander Shieh, Tejas Sudharshan Mathai, Jianfei Liu, Angshuman Paul, Ronald M. Summers:
Correcting Class Imbalances with Self-Training for Improved Universal Lesion Detection and Tagging. - Joshua Hatherley:
A moving target in AI-assisted decision-making: Dataset shift, model updating, and the problem of update opacity. - Richard A. Blythe, Casimir Fisch:
Exploiting individual differences to bootstrap communication. - Sefika Efeoglu, Adrian Paschke, Sonja Schimmler:
Post-Training Language Models for Continual Relation Extraction. - Hengran Zhang, Keping Bi, Jiafeng Guo, Xiaojie Sun, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng:
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling. - Yueyang Liu, Jiangxia Cao, Shen Wang, Shuang Wen, Xiang Chen, Xiangyu Wu, Shuang Yang, Zhaojie Liu, Kun Gai, Guorui Zhou:
LLM-Alignment Live-Streaming Recommendation. - Abdurrahim Yilmaz, Serra Atilla Aydin, Deniz Temur, Furkan Yuceyalcin, Berkin Deniz Kahya, Rahmetullah Varol, Ozay Gokoz, Gulsum Gencoglan, Huseyin Uvet, Gonca Elcin:
An ensemble deep learning approach to detect tumors on Mohs micrographic surgery slides. - Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng:
Leveraging LLMs for Utility-Focused Annotation: Reducing Manual Effort for Retrieval and RAG. - Avi Deb Raha, Kitae Kim, Mrityunjoy Gain, Apurba Adhikary, Zhu Han, Eui-Nam Huh, Choong Seon Hong:
Security Risks in Vision-Based Beam Prediction: From Spatial Proxy Attacks to Feature Refinement. - Torben Schiz, Henrik Ebel:
Reducing the Communication of Distributed Model Predictive Control: Autoencoders and Formation Control. - Zeqin Yu, Jiangqun Ni, Jian Zhang, Haoyi Deng, Yuzhen Lin:
Reinforced Multi-teacher Knowledge Distillation for Efficient General Image Forgery Detection and Localization. - Jiaming Chen, Wentao Zhao, Ziyu Meng, Donghui Mao, Ran Song, Wei Pan, Wei Zhang:
Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation. - Jungyeul Park:
Proposing TAGbank as a Corpus of Tree-Adjoining Grammar Derivations. - Julio Silva-Rodríguez, Jose Dolz, Ismail Ben Ayed:
A Reality Check of Vision-Language Pre-training in Radiology: Have We Progressed Using Text? - Yiming Zhang, Harshita Diddee, Susan Holm, Hanchen Liu, Xinyue Liu, Vinay Samuel, Barry Wang, Daphne Ippolito:
NoveltyBench: Evaluating Language Models for Humanlike Diversity. - Islam Eldifrawi, Shengrui Wang, Amine Trabelsi:
FinGrAct: A Framework for FINe-GRrained Evaluation of ACTionability in Explainable Automatic Fact-Checking. - César Leblanc, Lukás Picek, Benjamin Deneu, Pierre Bonnet, Maximilien Servajean, Rémi Palard, Alexis Joly:
Mapping biodiversity at very-high resolution in Europe. - Zhekai Zhou, Guibo Luo, Mingzhi Chen, Zhenyu Weng, Yuesheng Zhu:
Federated Learning for Medical Image Classification: A Comprehensive Benchmark. - Hang Li, Yucheng Chu, Kaiqi Yang, Yasemin Copur-Gencturk, Jiliang Tang:
LLM-based Automated Grading with Human-in-the-Loop. - Afsaneh Mahanipour, Hana Khamfroush:
Embedded Federated Feature Selection with Dynamic Sparse Training: Balancing Accuracy-Cost Tradeoffs. - Marius Almanstötter, Roman Vetter, Dagmar Iber:
PINNverse: Accurate parameter estimation in differential equations from noisy data with constrained physics-informed neural networks. - Wenzhao Tang, Weihang Li, Xiucheng Liang, Olaf Wysocki, Filip Biljecki, Christoph Holst, Boris Jutzi:
Texture2LoD3: Enabling LoD3 Building Reconstruction With Panoramic Images. - Mustafa Burak Gurbuz, Xingyu Zheng, Constantine Dovrolis:
PEAKS: Selecting Key Training Examples Incrementally via Prediction Error Anchored by Kernel Similarity. - Ben Lonnqvist, Elsa Scialom, Abdülkadir Gökce, Zehra Merchant, Michael H. Herzog, Martin Schrimpf:
Contour Integration Underlies Human-Like Vision. - Sara Pohland, Claire J. Tomlin:
Explaining Low Perception Model Competency with High-Competency Counterfactuals. - Sviatoslav Dzhenzher, Michael H. Freedman:
Adversarial KA. - Adrián Bazaga, Rexhina Blloshmi, Bill Byrne, Adrià de Gispert:
Learning to Reason Over Time: Timeline Self-Reflection for Improved Temporal Reasoning in Language Models. - Tomek Korbak, Mikita Balesni, Buck Shlegeris, Geoffrey Irving:
How to evaluate control measures for LLM agents? A trajectory from today to superintelligence. - Yang Yan, Yu Lu, Renjun Xu, Zhenzhong Lan:
Do PhD-level LLMs Truly Grasp Elementary Addition? Probing Rule Learning vs. Memorization in Large Language Models. - Germán Barquero, Nadine Bertsch, Manojkumar Marramreddy, Carlos Chacón, Filippo Arcadu, Ferran Rigual, Nicky He, Cristina Palmero, Sergio Escalera, Yuting Ye, Robin Kips:
From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models. - Ludovico Bruni Bruno, Federico Piazzon:
Differential forms: Lagrange interpolation, sampling and approximation on polynomial admissible integral k-meshes. - Yusef Ahsini, Marc Escoto, J. Alberto Conejero:
AnomalousNet: A Hybrid Approach with Attention U-Nets and Change Point Detection for Accurate Characterization of Anomalous Diffusion in Video Data. - Tammy Mackenzie, Branislav Radeljic, Leslie Salgado, Animesh Paul, Rubaina Khan, Aizhan Tursunbayeva, Natalie Perez, Sreyoshi Bhaduri:
What We Do Not Know: GPT Use in Business and Management. - Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang:
Enhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation. - Zahra Atf, Seyed Amir Ahmad Safavi-Naini, Peter Lewis, Aref Mahjoubfar, Nariman Naderi, Thomas Savage, Ali Soroush:
The challenge of uncertainty quantification of large language models in medicine. - Dmitry Guskov, Vitaly Vanchurin:
Covariant Gradient Descent. - Ramachandran Anantharaman, Carlos Gonzalez Rojas, Luna Artemis van Leeuwen, Leyla Özkan:
Estimation of Heat Transfer Coefficient in Heat Exchangers from closed-loop data using Neural Networks. - Kun Qin, Xiaorang Guo, Martin Schulz, Carsten Trinitis:
FERIVer: An FPGA-assisted Emulated Framework for RTL Verification of RISC-V Processors. - Hui Zhang, Zijian Wu, Linyi Huang, Sammy Christen, Jie Song:
RobustDexGrasp: Robust Dexterous Grasping of General Objects from Single-view Perception. - Mingyang Fu, Yuyang Peng, Benlin Liu, Yao Wan, Dongping Chen:
LiveVQA: Live Visual Knowledge Seeking. - Haley N. Green, Tariq Iqbal:
Using Physiological Measures, Gaze, and Facial Expressions to Model Human Trust in a Robot Partner. - Maitree Hirunteeyakul:
A BLE and UWB Beacon-Assist Framework for Multiuser Augmented Reality Synchronization Across Multiple Devices in Shared Environments. - Pedro Ferreira, Wilker Aziz, Ivan Titov:
Truthful or Fabricated? Using Causal Attribution to Mitigate Reward Hacking in Explanations. - Kwangjun Ahn, Byron Xu:
Dion: A Communication-Efficient Optimizer for Large Models. - Gal Fiebelman, Hadar Averbuch-Elor, Sagie Benaim:
Let it Snow! Animating Static Gaussian Scenes With Dynamic Weather Effects. - Karan Dalal, Daniel Koceja, Gashon Hussein, Jiarui Xu, Yue Zhao, Youjin Song, Shihao Han, Ka Chun Cheung, Jan Kautz, Carlos Guestrin, Tatsunori Hashimoto, Sanmi Koyejo, Yejin Choi, Yu Sun, Xiaolong Wang:
One-Minute Video Generation with Test-Time Training. - Andrés Marafioti, Orr Zohar, Miquel Farré, Merve Noyan, Elie Bakouch, Pedro Cuenca, Cyril Zakka, Loubna Ben Allal, Anton Lozhkov, Nouamane Tazi, Vaibhav Srivastav, Joshua Lochner, Hugo Larcher, Mathieu Morlon, Lewis Tunstall, Leandro von Werra, Thomas Wolf:
SmolVLM: Redefining small and efficient multimodal models. - Gen Li, Changxiao Cai, Yuting Wei:
Dimension-Free Convergence of Diffusion Models for Approximate Gaussian Mixtures. - Heeji Yoon, Heeseong Shin, Eunbeen Hong, Hyunwook Choi, Hansang Cho, Daun Jeong, Seungryong Kim:
S^4M: Boosting Semi-Supervised Instance Segmentation with SAM. - Sai Kumar Dwivedi, Dimitrije Antic, Shashank Tripathi, Omid Taheri, Cordelia Schmid, Michael J. Black, Dimitrios Tzionas:
InteractVLM: 3D Interaction Reasoning from 2D Foundational Models. - Hansheng Chen, Kai Zhang, Hao Tan, Zexiang Xu, Fujun Luan, Leonidas J. Guibas, Gordon Wetzstein, Sai Bi:
Gaussian Mixture Flow Matching Models. - Sangbeom Lim, Junwan Kim, Heeji Yoon, Jaewoo Jung, Seungryong Kim:
URECA: Unique Region Caption Anything. - Kavana Venkatesh, Connor Dunlop, Pinar Yanardag:
CREA: A Collaborative Multi-Agent Framework for Creative Content Generation with Diffusion Models. - Sowmya S. Sundaram, Mark A. Musen:
Toward Total Recall: Enhancing FAIRness through AI-Driven Metadata Standardization. - Ekaterina Solodneva, Alexandra Khirianova, Aleksandr Katrutsa, Roman Loginov, Andrey Tikhanov, Egor Samosvat, Yuriy Dorn:
RARe: Raising Ad Revenue Framework with Context-Aware Reranking. - Shangyu Chen, Xinyu Jia, Yingfei Zhang, Shuai Zhang, Xiang Li, Wei Lin:
IterQR: An Iterative Framework for LLM-based Query Rewrite in e-Commercial Search System. - Hrishikesh Kulkarni, Surya Kallumadi, Sean MacAvaney, Nazli Goharian, Ophir Frieder:
GRIT: Graph-based Recall Improvement for Task-oriented E-commerce Queries. - Ylli Prifti, Alessandro Provetti, Pasquale De Meo:
Dr Web: a modern, query-based web data retrieval engine. - Qitao Qin, Yucong Luo, Yihang Lu, Zhibo Chu, Xianwei Meng:
Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation. - Yichen Li, Qiyu Qin, Gaoyang Zhu, Wenchao Xu, Haozhao Wang, Yuhua Li, Rui Zhang, Ruixuan Li:
A Systematic Survey on Federated Sequential Recommendation. - Jianyang Zhai, Zi-Feng Mai, Chang-Dong Wang, Feidiao Yang, Xiawu Zheng, Hui Li, Yonghong Tian:
Multimodal Quantitative Language for Generative Recommendation. - Shijie Liu, Ruixing Ding, Weihai Lu, Jun Wang, Mo Yu, Xiaoming Shi, Wei Zhang:
Coherency Improved Explainable Recommendation via Large Language Model. - Yinan Zhou, Yaxiong Wang, Haokun Lin, Chen Ma, Li Zhu, Zhedong Zheng:
Scale Up Composed Image Retrieval Learning via Modification Text Generation. - Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed, Christopher Malon, Sebastien Nicolas, Chia-Chien Hung, Timo Sztyler, Verena Heußer, Wiem Ben Rim, Masafumi Enomoto, Kunihiro Takeoka, Masafumi Oyamada, Goran Glavas, Carolin Lawrence:
On Synthesizing Data for Context Attribution in Question Answering. - Luyang Wang, Cangcheng Tang, Chongyang Zhang, Jun Ruan, Kai Huang, Jason Jinquan Dai:
Efficient Multi-Task Learning via Generalist Recommender. - Changyu Du, Zihan Deng, Stavros Nousias, André Borrmann:
Predictive Modeling: BIM Command Recommendation Based on Large-scale Usage Logs. - Laurence Hirsch, Robin Hirsch, Bayode Ogunleye:
Document clustering with evolved multiword search queries. - Boyang Zuo, Xiao Zhang, Feng Li, Pengjie Wang, Jian Xu, Bo Zheng:
VALUE: Value-Aware Large Language Model for Query Rewriting via Weighted Trie in Sponsored Search. - Luca Bolis, Stefano Livella, Sabrina Patania, Dimitri Ognibene, Matteo Papini, Kenji Morita:
Balancing Benefits and Risks: RL Approaches for Addiction-Aware Social Media Recommenders. - Mingjian Fu, Hengsheng Chen, Dongchun Jiang, Yanchao Tan:
Multi-Perspective Attention Mechanism for Bias-Aware Sequential Recommendation. - Chandana Sree Mala, Gizem Gezici, Fosca Giannotti:
Hybrid Retrieval for Hallucination Mitigation in Large Language Models: A Comparative Analysis. - Shiran Dudy, Thulasi Tholeti, Resmi Ramachandranpillai, Muhammad Ali, Toby Jia-Jun Li, Ricardo Baeza-Yates:
Unequal Opportunities: Examining the Bias in Geographical Recommendations by Large Language Models. - Larry A. Dunning:
Totally Disjoint 3-Digit Decimal Check Digit Codes. - Elija Perrier:
Watts-Per-Intelligence: Part I (Energy Efficiency). - Shuaiqi Jing, Tianliang Yao, Ke Zhang, Di Wu, Qiulin Wang, Zixi Chen, Ke Chen, Peng Qi:
Ultrasound-Guided Robotic Blood Drawing and In Vivo Studies on Submillimetre Vessels of Rats. - Tianliang Yao, Madaoji Ban, Bo Lu, Zhiqiang Pei, Peng Qi:
Sim4EndoR: A Reinforcement Learning Centered Simulation Platform for Task Automation of Endovascular Robotics. - Jan Beger:
Not someone, but something: Rethinking trust in the age of medical AI. - Paul Lehner, Elinor Yeo:
When is using AI the rational choice? The importance of counterfactuals in AI deployment decisions. - Mahsa Bazzaz, Seth Cooper:
Level Generation with Constrained Expressive Range. - Sebastián Tinoco, Andrés Abeliuk, Javier Ruiz-del-Solar:
Impact of Price Inflation on Algorithmic Collusion Through Reinforcement Learning Agents. - Farida Mohsen, Zubair Shah:
Improving Early Prediction of Type 2 Diabetes Mellitus with ECG-DiaNet: A Multimodal Neural Network Leveraging Electrocardiogram and Clinical Risk Factors. - Haopeng Zhao, Zhichao Ma, Lipeng Liu, Yang Wang, Zheyu Zhang, Hao Liu:
Optimized Path Planning for Logistics Robots Using Ant Colony Algorithm under Multiple Constraints. - Szymon Mazurek, Jakub Caputa, Jan K. Argasinski, Maciej Wielgosz:
Three-Factor Learning in Spiking Neural Networks: An Overview of Methods and Trends from a Machine Learning Perspective. - Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà:
MASS: MoErging through Adaptive Subspace Selection. - Hao Nan Sheng, Zhi-yong Wang, Mingrui Yang, Hing Cheung So:
AROMA: Autonomous Rank-one Matrix Adaptation. - Han Lei, Jiaxing Xu, Xia Dong, Yiping Ke:
Divergent Paths: Separating Homophilic and Heterophilic Learning for Enhanced Graph-level Representations. - Wei Ni, Kaihang Zhang, Xiaoye Miao, Xiangyu Zhao, Yangyang Wu, Yaoshu Wang, Jianwei Yin:
ZeroED: Hybrid Zero-shot Error Detection through Large Language Model Reasoning. - Ivan Ilin, Peter Richtárik:
Thanos: A Block-wise Pruning Algorithm for Efficient Large Language Model Compression. - Ziqiang Li, Robert Simon Fong, Kantaro Fujiwara, Kazuyuki Aihara, Gouhei Tanaka:
Structuring Multiple Simple Cycle Reservoirs with Particle Swarm Optimization. - Siqian Li, Jung-Che Chang, Xi Wang, Xin Dong:
Development and Experimental Evaluation of a Vibration-Based Adhesion System for Miniature Wall-Climbing Robots. - Siqing Song, Chuang Wang, Ruiqi Wang, Yi Yang, Xuyao Zhang:
Achieving binary weight and activation for LLMs using Post-Training Quantization. - Jiayin Liu, Chenglong Zhang:
Deep Learning for Double Auction. - Yunxiang Liu, Hongkuo Niu:
DyTTP: Trajectory Prediction with Normalization-Free Transformers. - Junghun Oh, Sungyong Baik, Kyoung Mu Lee:
Find A Winning Sign: Sign Is All We Need to Win the Lottery. - Xi Chen, Mao Mao, Shuo Li, Haotian Shangguan:
Debate-Feedback: A Multi-Agent Framework for Efficient Legal Judgment Prediction. - Nicolas Blumenröhr, Jana Böhm, Philipp Ost, Marco Kulüke, Peter Wittenburg, Christophe Blanchi, Sven Bingert, Ulrich Schwardmann:
A Comparative Analysis of Modeling Approaches for the Association of FAIR Digital Objects Operations. - Blanka Burchard, Franek Stark:
Real-Time Model Predictive Control for the Swing-Up Problem of an Underactuated Double Pendulum. - Manvi Agarwal, Changhong Wang, Gaël Richard:
Of All StrIPEs: Investigating Structure-informed Positional Encoding for Efficient Music Generation. - Shan Suthaharan:
A Nature-Inspired Colony of Artificial Intelligence System with Fast, Detailed, and Organized Learner Agents for Enhancing Diversity and Quality. - G. Lancia, D. Falanga, Sameer Alam, Guglielmo Lulli:
Handling Weather Uncertainty in Air Traffic Prediction through an Inverse Approach. - Maja J. Hjuler, Line H. Clemmensen, Sneha Das:
Exploring Local Interpretable Model-Agnostic Explanations for Speech Emotion Recognition with Distribution-Shift. - Xueqiao Zhang, Chao Zhang, Jianwen Sun, Jun Xiao, Yi Yang, Yawei Luo:
EduPlanner: LLM-Based Multi-Agent Systems for Customized and Intelligent Instructional Design. - Md Nurul Absar Siddiky, Ahmed Arafa:
Status Updating with Time Stamp Errors. - Yotam Amitai, Ofra Amir, Guy Avni:
Interactive Explanations for Reinforcement-Learning Agents. - Zixin Jiang, Xuezheng Wang, Bing Dong:
Physics-informed Modularized Neural Network for Advanced Building Control by Deep Reinforcement Learning. - Nathan Liittschwager, Jonathan Castello, Stelios Tsampas, Lindsey Kuper:
CRDT Emulation, Simulation, and Representation Independence. - Sihang Li, Zeyu Jiang, Grace Chen, Chenyang Xu, Siqi Tan, Xue Wang, Irving Fang, Kristof Zyskowski, Shannon P. McPherron, Radu Iovita, Chen Feng, Jing Zhang:
GARF: Learning Generalizable 3D Reassembly for Real-World Fractures. - Victor Fonte Chavez, Claudia Esteves, Jean-Bernard Hayet:
Time-adaptive Video Frame Interpolation based on Residual Diffusion. - Akshay Krishnamurthy, Gene Li, Ayush Sekhari:
The Role of Environment Access in Agnostic Reinforcement Learning. - Yazan Youssef, Paulo Ricardo Marques de Araujo, Aboelmagd Noureldin, Sidney Givigi:
TRATSS: Transformer-Based Task Scheduling System for Autonomous Vehicles. - Wenbo Guo, Yujin Potter, Tianneng Shi, Zhun Wang, Andy Zhang, Dawn Song:
Frontier AI's Impact on the Cybersecurity Landscape. - Benjamin Lipkin, Benjamin LeBrun, Jacob Hoover Vigly, João Loula, David R. MacIver, Li Du, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Timothy J. O'Donnell, Alexander K. Lew, Tim Vieira:
Fast Controlled Generation from Language Models with Adaptive Weighted Rejection Sampling. - Lingzhi Shen, Yunfei Long, Xiaohao Cai, Guanming Chen, Imran Razzak, Shoaib Jameel:
Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection. - Rui Menoita, Sara Silva:
Evolving Financial Trading Strategies with Vectorial Genetic Programming. - Anqi Zhang, Yulin Chen, Jane Pan, Chen Zhao, Aurojit Panda, Jinyang Li, He He:
Reasoning Models Know When They're Right: Probing Hidden States for Self-Verification. - Steven Koniaev, Ori Ernst, Jackie Chi Kit Cheung:
PreSumm: Predicting Summarization Performance Without Summarizing. - Yue Yao, Mohamed-Khalil Bouzidi, Daniel Goehring, Joerg Reichardt:
EP-Diffuser: An Efficient Diffusion Model for Traffic Scene Generation and Prediction via Polynomial Representations. - Raffi Khatchadourian, Tatiana Castro Vélez, Mehdi Bagherzadeh, Nan Jia, Anita Raja:
Safe Automated Refactoring for Efficient Migration of Imperative Deep Learning Programs to Graph Execution. - Benny Skidanov, Daniel Erbesfeld, Gera Weiss, Achiya Elyasaf:
A Behavior-Based Knowledge Representation Improves Prediction of Players' Moves in Chess by 25%. - William K. Moses Jr., Amanda Redlich, Frederick Stock:
Broadcast via Mobile Agents in a Dynamic Network: Interplay of Graph Properties & Agents. - Wuzhe Xu, Yulong Lu, Lian Shen, Anqing Xuan, Ali Barzegari:
Diffusion-based Models for Unpaired Super-resolution in Fluid Dynamics. - Ziad Kheil, Soléakhéna Ken, Laurent Risser:
Biomechanical Constraints Assimilation in Deep-Learning Image Registration: Application to sliding and locally rigid deformations. - Lianghan Dong, Anamaria Crisan:
Probing the Visualization Literacy of Vision Language Models: the Good, the Bad, and the Ugly. - Shawon Sarkar, Min Sun, Alex Liu, Zewei Tian, Lief Esbenshade, Jian He, Zachary Zhang:
Connecting Feedback to Choice: Understanding Educator Preferences in GenAI vs. Human-Created Lesson Plans in K-12 Education - A Comparative Analysis. - Arjun Somayazulu, Efi Mavroudi, Changan Chen, Lorenzo Torresani, Kristen Grauman:
Learning Activity View-invariance Under Extreme Viewpoint Changes via Curriculum Knowledge Distillation. - Yoshitaka Inoue, Tianfan Fu, Augustin Luna:
GraphPINE: Graph Importance Propagation for Interpretable Drug Response Prediction. - Omar de Mitri, Ruyu Wang, Marco F. Huber:
Generative Adversarial Networks with Limited Data: A Survey and Benchmarking. - Vésteinn Snæbjarnarson, Kevin Du, Niklas Stoehr, Serge J. Belongie, Ryan Cotterell, Nico Lang, Stella Frank:
Taxonomy-Aware Evaluation of Vision-Language Models. - In-Hwan Jin, Haesoo Choo, Seong-Hun Jeong, Heemoon Park, Junghwan Kim, Oh-joon Kwon, Kyeongbo Kong:
Optimizing 4D Gaussians for Dynamic Scene Video from Single Landscape Images. - Arnas Uselis, Seong Joon Oh:
Intermediate Layer Classifiers for OOD generalization. - Sofian Chaybouti, Walid Bousselham, Moritz Wolter, Hilde Kuehne:
REVEAL: Relation-based Video Representation Learning for Video-Question-Answering. - Thanos Delatolas, Vicky Kalogeiton, Dim P. Papadopoulos:
Studying Image Diffusion Features for Zero-Shot Video Object Segmentation. - Christopher Bülte, Sohir Maskey, Philipp Scholl, Jonas von Berg, Gitta Kutyniok:
Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall. - Oluwadamilola Sotomi, Devika Kodi, Aliasghar Arab:
Trust Through Transparency: Explainable Social Navigation for Autonomous Mobile Robots via Vision-Language Models. - Alfred Clemedtson, Borun Shi:
GraphRAFT: Retrieval Augmented Fine-Tuning for Knowledge Graphs on Graph Databases. - Maxim Gumin, Do Heon Han, Seung Jean Yoo, Aditya Ganeshan, R. Kenny Jones, Rio Aguina-Kang, Stewart Morris, Daniel Ritchie:
Imperative vs. Declarative Programming Paradigms for Open-Universe Scene Generation. - Mohammad Hossein Najafi, Mohammad Morsali, Mohammadreza Pashanejad, Saman Soleimani Roudi, Mohammad Norouzi, Saeed Bagheri Shouraki:
Secure Diagnostics: Adversarial Robustness Meets Clinical Interpretability. - Malak Annabi, Abdelhafid Zeroual, Nadhir Messai:
Towards Zero Trust Security in Connected Vehicles: A Comprehensive Survey. - Adam Imdieke, Karthik Desingh:
SPARK-Remote: A Cost-Effective System for Remote Bimanual Robot Teleoperation. - Sasan Vakili, Manuel Mazo Jr., Peyman Mohajerin Esfahani:
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model. - Sakib Reza, Xiyun Song, Heather Yu, Zongfang Lin, Mohsen Moghaddam, Octavia I. Camps:
REEF: Relevance-Aware and Efficient LLM Adapter for Video Understanding. - Amine Othmane, Kathrin Flaßkamp:
Neural network-enhanced integrators for simulating ordinary differential equations. - Atilla Kaan Alkan, Shashwat Sourav, Maja Jablonska, Simone Astarita, Rishabh Chakrabarty, Nikhil Garuda, Pranav Khetarpal, Maciej Pióro, Dimitrios Tanoglidis, Kartheik Iyer, Mugdha Polimera, Michael J. Smith, Tirthankar Ghosal, Marc Huertas-Company, Sandor Kruk, Kevin Schawinski, Ioana Ciuca:
A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models. - Ruoyu Xue, Jingyi Xu, Sounak Mondal, Hieu Le, Gregory J. Zelinsky, Minh Hoai, Dimitris Samaras:
Few-shot Personalized Scanpath Prediction. - Vahid Majdinasab, Amin Nikanjam, Foutse Khomh:
Prism: Dynamic and Flexible Benchmarking of LLMs Code Generation with Monte Carlo Tree Search. - Chetan Singh, Deepak Bhoriya, Anshu Yadav, Harish Kumar, Dinshaw S. Balsara:
Chew, Goldberger & Low Equations: Eigensystem Analysis and Applications to One-Dimensional Test Problems. - Marija Ivanovska, Leon Todorov, Naser Damer, Deepak Kumar Jain, Peter Peer, Vitomir Struc:
SelfMAD: Enhancing Generalization and Robustness in Morphing Attack Detection via Self-Supervised Learning. - Ahmed Masry, Mohammed Saidul Islam, Mahir Ahmed, Aayush Bajaj, Firoz Kabir, Aaryaman Kartha, Md. Tahmid Rahman Laskar, Mizanur Rahman, Shadikur Rahman, Mehrad Shahmohammadi, Megh Thakkar, Md. Rizwan Parvez, Enamul Hoque, Shafiq Joty:
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering. - Mo Zhou, Josh Myers-Dean, Danna Gurari:
PartStickers: Generating Parts of Objects for Rapid Prototyping. - Zhiyang Chen, Sidi Mohamed Beillahi, Pasha Barahimi, Cyrus Minwalla, Han Du, Andreas G. Veneris, Fan Long:
Secure Smart Contract with Control Flow Integrity. - Gerardo Iuliano, Davide Corradini, Michele Pasqua, Mariano Ceccato, Dario Di Nucci:
How Do Solidity Versions Affect Vulnerability Detection Tools? An Empirical Study. - Yi-Zhen Tsai, Xuechen Zhang, Zheng Li, Jiasi Chen:
L3GS: Layered 3D Gaussian Splats for Efficient 3D Scene Delivery. - Rem Yang, Julian Dai, Nikos Vasilakis, Martin C. Rinard:
Evaluating the Generalization Capabilities of Large Language Models on Code Reasoning. - Taiwei Shi, Yiyang Wu, Linxin Song, Tianyi Zhou, Jieyu Zhao:
Efficient Reinforcement Finetuning via Adaptive Curriculum Learning. - Jianling Wang, Yifan Liu, Yinghao Sun, Xuejian Ma, Yueqi Wang, He Ma, Zhengyang Su, Minmin Chen, Mingyan Gao, Onkar Dalal, Ed H. Chi, Lichan Hong, Ningren Han, Haokai Lu:
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems. - Elisabeth Fittschen, Sabrina Li, Tom Lippincott, Leshem Choshen, Craig Messner:
Pretraining Language Models for Diachronic Linguistic Change Discovery. - Simon Kuang, Xinfan Lin:
Debiasing Continuous-time Nonlinear Autoregressions. - Despina Tomkou, George Fatouros, Andreas Andreou, Georgios Makridis, Fotis Liarokapis, Dimitrios Dardanis, Athanasios Kiourtis, John Soldatos, Dimosthenis Kyriazis:
Bridging Industrial Expertise and XR with LLM-Powered Conversational Agents. - Rishav Mukherjee, Jeffrey Ahearn Thompson:
FORCE: Feature-Oriented Representation with Clustering and Explanation. - M.-A-P. Team, Siwei Wu, Jincheng Ren, Xinrun Du, Shuyue Guo, Xingwei Qu, Yiming Liang, Jie Liu, Yunwen Li, Tianyu Zheng, Boyu Feng, Huaqing Yuan, Zenith Wang, Jiaheng Liu, Wenhao Huang, Chenglin Cai, Haoran Que, Jian Yang, Yuelin Bai, Zekun Moore Wang, Zhouliang Yu, Qunshu Lin, Ding Pan, Yuchen Jiang, Tiannan Wang, Wangchunshu Zhou, Shenzhi Wang, Xingyuan Bu, Minghao Liu, Guoyin Wang, Ge Zhang, Chenghua Lin:
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values. - Jiasheng Hu, Chihan Cui, Anna Li, Raahil Vora, Yuanfan Chen, Philip A. Bernstein, Jialin Li, Qizhen Zhang:
dpBento: Benchmarking DPUs for Data Processing. - Tasmiah Haque, Md. Asif Bin Syed, Byungheon Jeong, Xue Bai, Sumit Mohan, Somdyuti Paul, Imtiaz Ahmed, Srinjoy Das:
Towards Efficient Real-Time Video Motion Transfer via Generative Time Series Modeling. - Yunlong Tang, Jing Bi, Chao Huang, Susan Liang, Daiki Shimada, Hang Hua, Yunzhong Xiao, Yizhi Song, Pinxin Liu, Mingqian Feng, Junjia Guo, Zhuo Liu, Luchuan Song, Ali Vosoughi, Jinxi He, Liu He, Zeliang Zhang, Jiebo Luo, Chenliang Xu:
Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting. - Martin El Mqirmi, Noam Aigerman:
View-Dependent Deformation Fields for 2D Editing of 3D Models. - Mohammad Almomani, Ahmed Alkhonain, Venkataramana Ajjarapu:
Extended Sensitivity-Aware Reactive Power Dispatch Algorithm for Smart Inverters with Multiple Control Modes. - Amnon Attali, Praval Telagi, Marco Morales, Nancy M. Amato:
Path Database Guidance for Motion Planning. - Seongwon Lee, James Motes, Isaac Ngui, Marco Morales, Nancy M. Amato:
Lazy-DaSH: Lazy Approach for Hypergraph-based Multi-robot Task and Motion Planning. - Yongjie Fu, Lingyun Zhong, Zifan Li, Xuan Di:
Federated Hierarchical Reinforcement Learning for Adaptive Traffic Signal Control. - Mohammad Almomani, Muhammad Sarwar, Venkataramana Ajjarapu:
Novel Data-Driven Indices for Early Detection and Quantification of Short-Term Voltage Instability from Voltage Trajectories. - Mohammad Almomani, Muhammad Sarwar, Venkataramana Ajjarapu:
Enhanced Entropy-Based Metric for Characterization of Delayed Voltage Recovery. - Erzhuo Shao, Yifang Wang, Yifan Qian, Zhenyu Pan, Han Liu, Dashun Wang:
SciSciGPT: Advancing Human-AI Collaboration in the Science of Science. - Juan I. Giribet, Alejandro Simon Ghersin, Ignacio Mas:
Adaptive Multirobot Virtual Structure Control using Dual Quaternions. - Bartlomiej Wronski, Matt Pharr, Tomas Akenine-Möller:
Improved Stochastic Texture Filtering Through Sample Reuse. - Dongyang Fan, Tyler J. Rotello, Sai Praneeth Karimireddy:
From Fairness to Truthfulness: Rethinking Data Valuation Design. - Conrad Borchers, Tianze Shou:
Can Large Language Models Match Tutoring System Adaptivity? A Benchmarking Study. - Oded Ovadia, Meni Brief, Rachel Lemberg, Eitam Sheetrit:
Knowledge-Instruct: Effective Continual Pre-training from Limited Data using Instructions. - Jeffrey Pound, Floris Chabert, Arjun Bhushan, Ankur Goswami, Anil Pacaci, Shihabur Rahman Chowdhury:
MicroNN: An On-device Disk-resident Updatable Vector Database. - Belal Alsinglawi, Chris McCarthy, Sara Webb, Christopher Fluke, Navid Toosy Saidy:
A Lightweight Large Vision-language Model for Multimodal Medical Images. - Mingfei Chen, Israel D. Gebru, Ishwarya Ananthabhotla, Christian Richardt, Dejan Markovic, Jacob Sandakly, Steven Krenn, Todd Keebler, Eli Shlizerman, Alexander Richard:
SoundVista: Novel-View Ambient Sound Synthesis via Visual-Acoustic Binding. - Jiaqi Yin, Zhan Song, Chen Chen, Qihao Hu, Cunxi Yu:
BoolE: Exact Symbolic Reasoning via Boolean Equality Saturation. - Ming Zeng, Ji Wang, Xingwang Li, Wanming Hao, Zheng Chu, Wenwu Xie, Xianbin Wang, Quoc-Viet Pham:
Recent Advances in Near-Field Beam Training and Channel Estimation for XL-MIMO Systems. - Artem Zholus, Carl Doersch, Yi Yang, Skanda Koppula, Viorica Patraucean, Xu Owen He, Ignacio Rocco, Mehdi S. M. Sajjadi, Sarath Chandar, Ross Goroshin:
TAPNext: Tracking Any Point (TAP) as Next Token Prediction. - Jiahang Li, Shibo Xue, Yong Su:
Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification. - Yuxuan Li, Ning Yang, Stephen Xia:
TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning. - Ajay Jaiswal, Jianyu Wang, Yixiao Li, Pingzhi Li, Tianlong Chen, Zhangyang Wang, Chong Wang, Ruoming Pang, Xianzhi Du:
Finding Fantastic Experts in MoEs: A Unified Study for Expert Dropping Strategies and Observations. - Luning Sun, Xin-Yang Liu, Siyan Zhao, Aditya Grover, Jian-Xun Wang, Jayaraman J. Thiagarajan:
Multi-fidelity Reinforcement Learning Control for Complex Dynamical Systems. - Mohammad Mirtaba, Jhon Manuel Portella-Delgado, Ankit Goel:
Adaptive Control of Dual-Rotor Rotational System with Unknown Geometry and Unknown Inertia. - Long Ma, Yuxin Feng, Yan Zhang, Jinyuan Liu, Weimin Wang, Guang-Yong Chen, Chengpei Xu, Zhuo Su:
CoA: Towards Real Image Dehazing via Compression-and-Adaptation. - Kerd Topallaj, Colin McKerrell, Suraj Ramanathan, Ioannis Zografopoulos:
Impact Assessment of Cyberattacks in Inverter-Based Microgrids. - Qi Mao, Lan Chen, Yuchao Gu, Mike Zheng Shou, Ming-Hsuan Yang:
Tuning-Free Image Editing with Fidelity and Editability via Unified Latent Diffusion Model. - Hossein Entezari Zarch, Lei Gao, Chaoyi Jiang, Murali Annavaram:
DEL: Context-Aware Dynamic Exit Layer for Efficient Self-Speculative Decoding. - Yi Peng, Chris, Xiaokun Wang, Yichen Wei, Jiangbo Pei, Weijie Qiu, Ai Jian, Yunzhuo Hao, Jiachun Pan, Tianyidan Xie, Li Ge, Rongxian Zhuang, Xuchen Song, Yang Liu, Yahui Zhou:
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought. - Zhenteng Li, Sheng Lian, Dengfeng Pan, Youlin Wang, Wei Liu:
AD-Det: Boosting Object Detection in UAV Images with Focused Small Objects and Balanced Tail Classes. - Naman Bhargava, Mohammed I. Radaideh, O. Hwang Kwon, Aditi Verma, Majdi I. Radaideh:
On the Impact of Language Nuances on Sentiment Analysis with Large Language Models: Paraphrasing, Sarcasm, and Emojis. - Jihoon Kim, Namwoo Kang:
PyTopo3D: A Python Framework for 3D SIMP-based Topology Optimization. - Gejian Zhao, Hanzhou Wu, Xinpeng Zhang, Athanasios V. Vasilakos:
ShadowCoT: Cognitive Hijacking for Stealthy Reasoning Backdoors in LLMs. - Qian-Wen Zhang, Fang Li, Jie Wang, Lingfeng Qiao, Yifei Yu, Di Yin, Xing Sun:
FactGuard: Leveraging Multi-Agent Systems to Generate Answerable and Unanswerable Questions for Enhanced Long-Context LLM Extraction. - Arafat Rahman, Sol Lim, Seokhyun Chung:
Fairness in Machine Learning-based Hand Load Estimation: A Case Study on Load Carriage Tasks. - Xiao Zhang, Xiangyu Han, Xiwen Lai, Yao Sun, Pei Zhang, Konrad Kording:
Falcon: Fractional Alternating Cut with Overcoming Minima in Unsupervised Segmentation. - Yichen Dong, Xinglin Lyu, Junhui Li, Daimeng Wei, Min Zhang, Shimin Tao, Hao Yang:
Two Intermediate Translations Are Better Than One: Fine-tuning LLMs for Document-level Translation Refinement. - Seunghun Yu, Jin-Hyun Ahn, Joonhyuk Kang:
FedEFC: Federated Learning Using Enhanced Forward Correction Against Noisy Labels. - Jiawei Duan, Haibo Hu, Qingqing Ye, Xinyue Sun:
Technical Report: Full Version of Analyzing and Optimizing Perturbation of DP-SGD Geometrically. - Bing Han, Feifei Zhao, Yinqian Sun, Wenxuan Pan, Yi Zeng:
Continual Learning of Multiple Cognitive Functions with Brain-inspired Temporal Development Mechanism. - Mahmoud Afifi, Luxi Zhao, Abhijith Punnappurath, Mohammed A. Abdelsalam, Ran Zhang, Michael S. Brown:
Time-Aware Auto White Balance in Mobile Photography. - Zhang Xi-Jia, Yue Guo, Shufei Chen, Simon Stepputtis, Matthew Gombolay, Katia Sycara, Joseph Campbell:
Model-Agnostic Policy Explanations with Large Language Models. - Ruting Cheng, Yijiang Zheng, Boyuan Feng, Chuhui Qiu, Zhuoxin Long, Joaquin A. Calderon, Xiaoke Zhang, Jaclyn M. Phillips, James K. Hahn:
Maternal and Fetal Health Status Assessment by Using Machine Learning on Optical 3D Body Scans. - Chengzhi Lin, Annan Xie, Shuchang Liu, Wuhong Wang, Chuyuan Wang, Yongqi Liu:
Stratified Expert Cloning with Adaptive Selection for User Retention in Large-Scale Recommender Systems. - Haodong Huang, Shilong Sun, Zida Zhao, Hailin Huang, Changqing Shen, Wenfu Xu:
PTRL: Prior Transfer Deep Reinforcement Learning for Legged Robots Locomotion. - Sanchit Kabra, Akshita Jha, Chandan K. Reddy:
Reasoning Towards Fairness: Mitigating Bias in Language Models through Reasoning-Guided Fine-Tuning. - Xinwei Chen, Marlin W. Ulmer, Barrett W. Thomas:
To Start Up a Start-Up-Embedding Strategic Demand Development in Operational On-Demand Fulfillment via Reinforcement Learning with Information Shaping. - Teng Lin:
Simplifying Data Integration: SLM-Driven Systems for Unified Semantic Queries Across Heterogeneous Databases. - Igor Polyakov, Alexey Dukhanov, Egor Spirin:
TAGC: Optimizing Gradient Communication in Distributed Transformer Training. - Vasant Dhar, João Sedoc:
DBOT: Artificial Intelligence for Systematic Long-Term Investing. - Subhankar Maity, Aniket Deroy:
Leveraging Prompt-Tuning for Bengali Grammatical Error Explanation Using Large Language Models. - Yan Zhang, Zhong Ji, Changxu Meng, Yanwei Pang, Jungong Han:
iEBAKER: Improved Remote Sensing Image-Text Retrieval Framework via Eliminate Before Align and Keyword Explicit Reasoning. - Mahdi Karami, Vahab Mirrokni:
Lattice: Learning to Efficiently Compress the Memory. - Yining Shi, Kun Jiang, Xin Zhao, Kangan Qian, Chuchu Xie, Tuopu Wen, Mengmeng Yang, Diange Yang:
POD: Predictive Object Detection with Single-Frame FMCW LiDAR Point Cloud. - Narine Kokhlikyan, Bargav Jayaraman, Florian Bordes, Chuan Guo, Kamalika Chaudhuri:
Measuring Déjà vu Memorization Efficiently. - Yu-Hang Wu, Yu-Jie Xiong, Jie-Zhang:
Sugar-Coated Poison: Benign Generation Unlocks LLM Jailbreaking. - Frank Nielsen:
Curved representational Bregman divergences and their applications. - Shunsuke Sakai, Tatsuhito Hasegawa:
Reconstruction-Free Anomaly Detection with Diffusion Models via Direct Latent Likelihood Evaluation. - Jinseong Park, Jeong-Jung Kim, Doo-Yeol Koh:
Experimental Evaluation of Precise Placement of the Hollow Object with Asymmetric Pivot Manipulation. - Yang Cao, Changhao Zhang, Xiaoshuang Chen, Kaiqiao Zhan, Ben Wang:
xMTF: A Formula-Free Model for Reinforcement-Learning-Based Multi-Task Fusion in Recommender Systems. - John Smith, Wenxuan Tu, Junlong Wu, Wenxin Zhang, Jingxin Liu, Haotian Wang, Jieren Cheng, Huajie Lei, Guangzhen Yao, Lingren Wang, Mengfei Li, Renda Han, Yu Li:
Dual Boost-Driven Graph-Level Clustering Network. - Tianshui Chen, Jianman Lin, Zhijing Yang, Chumei Qing, Yukai Shi, Liang Lin:
Contrastive Decoupled Representation Learning and Regularization for Speech-Preserving Facial Expression Manipulation. - Dongjun Qian, Kai Su, Yiming Tan, Qishuai Diao, Xian Wu, Chang Liu, Bingyue Peng, Zehuan Yuan:
VC-LLM: Automated Advertisement Video Creation from Raw Footage using Multi-modal LLMs. - Shunsuke Sakai, Shunsuke Tsuge, Tatsuhito Hasegawa:
Noisy Deep Ensemble: Accelerating Deep Ensemble Learning via Noise Injection. - Udayanga G. W. K. N. Gamage, Xuanni Huo, Luca Zanatta, T. Delbruck, Cesar Cadena, Matteo Fumagalli, Silvia Tolu:
Event-based Civil Infrastructure Visual Defect Detection: ev-CIVIL Dataset and Benchmark. - Zhongyao Hu, Bo Chen, Chao Sun, Li Yu:
Covariance-Intersection-based Distributed Kalman Filtering: Stability Problems Revisited. - Xiaxu Chen, Wei Li, Chunxu Liu, Chi Xie, Xiaoyan Hu, Chengqian Ma, Feng Zhu, Rui Zhao:
On the Suitability of Reinforcement Fine-Tuning to Visual Tasks. - Subhankar Maity, Aniket Deroy, Sudeshna Sarkar:
Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis? - Tri Ton, Ji Woo Hong, Chang D. Yoo:
TARO: Timestep-Adaptive Representation Alignment with Onset-Aware Conditioning for Synchronized Video-to-Audio Synthesis. - Keren Shao, Ke Chen, Matthew Baas, Shlomo Dubnov:
kNN-SVC: Robust Zero-Shot Singing Voice Conversion with Additive Synthesis and Concatenation Smoothness Optimization. - Arun Jambulapati, Jonathan Li, Kevin Tian:
Radial Isotropic Position via an Implicit Newton's Method. - Xitao Li, Haijun Wang, Jiang Wu, Ting Liu:
Separator Injection Attack: Uncovering Dialogue Biases in Large Language Models Caused by Role Separators. - Giorgio Strano, Chiara Ballanti, Donato Crisostomi, Michele Mancusi, Luca Cosmo, Emanuele Rodolà:
STAGE: Stemmed Accompaniment Generation through Prefix-Based Conditioning. - Sudeshna Jana, Manjira Sinha, Tirthankar Dasgupta:
StayLTC: A Cost-Effective Multimodal Framework for Hospital Length of Stay Forecasting. - Aniket Deroy, Subhankar Maity:
STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation. - Wentao Cheng, Zhida Qin, Zexue Wu, Pengzhan Zhou, Tianyu Huang:
Large Language Models Enhanced Hyperbolic Space Recommender Systems. - Thomas Chen, Chun-Kai Kevin Chien, Patricia Muñoz Ewald, Andrew G. Moore:
Architecture independent generalization bounds for overparametrized deep ReLU networks. - Rui Qiu, Yamei Tu, Po-Yin Yen, Han-Wei Shen:
VADIS: A Visual Analytics Pipeline for Dynamic Document Representation and Information-Seeking. - Wesley Khademi, Fuxin Li:
Point-based Instance Completion with Scene Constraints. - Seth Z. Zhao, Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Behzad Dariush:
Pose-Aware Weakly-Supervised Action Segmentation. - Jonathan Wright, Mark Y. Liberman, Neville Ryant, James Fiumara:
Evaluating Speech-to-Text Systems with PennSound. - Fida Mohammad Thoker, Letian Jiang, Chen Zhao, Piyush Bagad, Hazel Doughty, Bernard Ghanem, Cees G. M. Snoek:
SEVERE++: Evaluating Benchmark Sensitivity in Generalization of Video Representation Learning. - Jinghua Groppe, Andreas Marquet, Annabel Walz, Sven Groppe:
Automated Archival Descriptions with Federated Intelligence of LLMs. - Piotr Przymus, Mikolaj Fejzer, Jakub Narebski, Krzysztof Stencel:
How I Learned to Stop Worrying and Love ChatGPT. - Gen Li, Li Chen, Cheng Tang, Valdemar Svábenský, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada:
Single-Agent vs. Multi-Agent LLM Strategies for Automated Student Reflection Assessment. - Christopher Reinwardt, Robert Balas, Alessandro Ottaviano, Angelo Garofalo, Luca Benini:
CVA6-VMRT: A Modular Approach Towards Time-Predictable Virtual Memory in a 64-bit Application Class RISC-V Processor. - Jiaqi Li, Ruowei Wang, Yu Liu, Qijun Zhao:
QEMesh: Employing A Quadric Error Metrics-Based Representation for Mesh Generation. - Nicole Spillane, Daniel B. Szyld:
Improved Polynomial Bounds and Acceleration of GMRES by Solving a min-max Problem on Rectangles, and by Deflating. - Minghao Ning, Yufeng Yang, Shucheng Huang, Jiaming Zhong, Keqi Shu, Chen Sun, Ehsan Hashemi, Amir Khajepour:
SAP-CoPE: Social-Aware Planning using Cooperative Pose Estimation with Infrastructure Sensor Nodes. - Tianqi Ding, Dawei Xiang, Tianyao Sun, YiJiashum Qi, Zunduo Zhao:
AI-Driven Prognostics for State of Health Prediction in Li-ion Batteries: A Comprehensive Analysis with Validation. - Yuhang Deng, Zheng Chen, Erik G. Larsson:
Robust and Efficient Average Consensus with Non-Coherent Over-the-Air Aggregation. - Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Enyun Yu:
Unified Generative Search and Recommendation. - Teng Shi, Jun Xu, Xiao Zhang, Xiaoxue Zang, Kai Zheng, Yang Song, Han Li:
Retrieval Augmented Generation with Collaborative Filtering for Personalized Text Generation. - Haoyu Wang, Yujia Fu, Zhu Zhang, Shuo Wang, Zirui Ren, Xiaorong Wang, Zhili Li, Chaoqun He, Bo An, Zhiyuan Liu, Maosong Sun:
LLM⨉MapReduce-V2: Entropy-Driven Convolutional Test-Time Scaling for Generating Long-Form Articles from Extremely Long Resources. - Yida Cai, Kun Liang, Sanwoo Lee, Qinghan Wang, Yunfang Wu:
Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring. - Jia Li, Jiacheng Shen, Yuxin Su, Michael R. Lyu:
LLM-assisted Mutation for Whitebox API Testing. - Jee Won Lee, Hansol Lim, SooYeun Yang, Jongseong Choi:
Micro-splatting: Maximizing Isotropic Constraints for Refined Optimization in 3D Gaussian Splatting. - Shuai Wang, Zhi Tian, Weilin Huang, Limin Wang:
DDT: Decoupled Diffusion Transformer. - Yoshifumi Sakai:
Linear-space LCS enumeration with quadratic-time delay for two strings. - Zhihua Xu, Tianshui Chen, Zhijing Yang, Siyuan Peng, Keze Wang, Liang Lin:
Exploiting Temporal Audio-Visual Correlation Embedding for Audio-Driven One-Shot Talking Head Animation. - Raymond Ng, Thanh Ngan Nguyen, Yuli Huang, Ngee Chia Tai, Wai Yi Leong, Wei Qi Leong, Xian Bin Yong, Jian Gang Ngui, Yosephine Susanto, Nicholas Cheng, Hamsawardhini Rengarajan, Peerat Limkonchotiwat, Adithya Venkatadri Hulagadri, Kok Wai Teng, Yeo Yeow Tong, Bryan Siow, Wei Yi Teo, Wayne Lau, Choon Meng Tan, Brandon Ong, Zhi Hao Ong, Jann Railey Montalan, Adwin Chan, Sajeban Antonyrex, Ren Lee, Esther Choa, David Ong Tat-Wee, Bing Jie Darius Liu, William-Chandra Tjhi, Erik Cambria, Leslie Teo:
SEA-LION: Southeast Asian Languages in One Network. - Tri Tung Nguyen Nguyen, Quang Tien Dam, Dinh Tuan Tran, Joo-Ho Lee:
When Less Is More: A Sparse Facial Motion Structure For Listening Motion Learning. - Markus Worchel, Ugo Paavo Finnendahl, Marc Alexa:
Radiative Backpropagation with Non-Static Geometry. - Jiangsan Zhao, Jakob Geipel, Krzysztof Kusnierek, Xuean Cui:
InvNeRF-Seg: Fine-Tuning a Pre-Trained NeRF for 3D Object Segmentation. - Bowen Lou, Tian Lu, T. S. Raghu, Yingjie Zhang:
Unraveling Human-AI Teaming: A Review and Outlook. - Luigi Rovito, Marco Virgolin:
Interpretable Non-linear Survival Analysis with Evolutionary Symbolic Regression. - Reza Rahimi Baghbadorani, Emilio Benenati, Sergio Grammatico:
A Douglas-Rachford Splitting Method for Solving Monotone Variational Inequalities in Linear-quadratic Dynamic Games. - Yujia Lou, Jie Liu, Yuan Sheng, Jiawei Wang, Yiwei Zhang, Yaokun Ren:
Addressing Class Imbalance with Probabilistic Graphical Models and Variational Inference. - Nathanaël Beau, Benoît Crabbé:
RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation. - Maria Arostegi, Miren Nekane Bilbao, Jesus L. Lobo, Javier Del Ser:
AiGAS-dEVL-RC: An Adaptive Growing Neural Gas Model for Recurrently Drifting Unsupervised Data Streams. - Jiho Gwak, Yuchul Jung:
Layer-Aware Embedding Fusion for LLMs in Text Classifications. - András Horváth, Paolo Ballarini, Pierre Cry:
Probabilistic Process Discovery with Stochastic Process Trees. - Zhang Dong, Mingbang Wang, Songhang deng, Le Dai, Jiyuan Li, Xingzu Liu, Ruilin Nong:
Cross-Document Contextual Coreference Resolution in Knowledge Graphs. - Mincheol Kim, Soo-Yong Shin:
Temporal Dynamic Embedding for Irregularly Sampled Time Series. - Inho Jake Park, Jaehoon Jay Jeong, Ho-Sang Jo:
A Lightweight Multi-Module Fusion Approach for Korean Character Recognition. - Andreas Björklund, Petteri Kaski, Tomohiro Koana, Jesper Nederlof:
Kronecker scaling of tensors with applications to arithmetic circuits and algorithms. - Enming Zhang, Zhengyu Li, Yanru Wu, Jingge Wang, Yang Tan, Ruizhe Zhao, Guan Wang, Yang Li:
Transferable Mask Transformer: Cross-domain Semantic Segmentation with Region-adaptive Transferability Estimation. - Carolina Abugattas, Ana Carpio, Elena Cebrián, Gerardo Oleaga:
Quantifying uncertainty in inverse scattering problems set in layered environments. - Tao Lin, Qingwang Wang, Qiwei Liang, Minghua Tang, Yuxuan Sun:
FASR-Net: Unsupervised Shadow Removal Leveraging Inherent Frequency Priors. - Zhehui Liao, Hanwen Zhao, Ayush Kulkarni, Shaan Singh Chattrath, Amy X. Zhang:
Building Proactive and Instant-Reactive Safety Designs to Address Harassment in Social Virtual Reality. - Pengfei Zhou, Fanrui Zhang, Xiaopeng Peng, Zhaopan Xu, Jiaxin Ai, Yansheng Qiu, Chuanhao Li, Zhen Li, Ming Li, Yukang Feng, Jianwen Sun, Haoquan Zhang, Zizhen Li, Xiaofeng Mao, Wangbo Zhao, Kai Wang, Xiaojun Chang, Wenqi Shao, Yang You, Kaipeng Zhang:
MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models. - Zijie Song, Zhenzhen Hu, Yixiao Ma, Jia Li, Richang Hong:
Video Flow as Time Series: Discovering Temporal Consistency and Variability for VideoQA. - Paola F. Antonietti, Mattia Corti, Sergio Gómez, Ilaria Perugia:
A structure-preserving LDG discretization of the Fisher-Kolmogorov equation for modeling neurodegenerative diseases. - Jirong Zha, Yuxuan Fan, Xiao Yang, Chen Gao, Xinlei Chen:
How to Enable LLM with 3D Capacity? A Survey of Spatial Reasoning in LLM. - Sarosij Bose, Hannah Dela Cruz, Arindam Dutta, Elena Kokkoni, Konstantinos Karydis, Amit K. Roy-Chowdhury:
Leveraging Synthetic Adult Datasets for Unsupervised Infant Pose Estimation. - Jian Zhang, Wafa Johal, Jarrod Knibbe:
Illusion Spaces in VR: The Interplay Between Size and Taper Angle Perception in Grasping. - Zhiguo Ding:
Pinching-Antenna Assisted ISAC: A CRLB Perspective. - Timo Häckel, Lisa Maile, Philipp Meyer, Franz Korf, Thomas C. Schmidt:
Negotiating Strict Latency Limits for Dynamic Real-Time Services in Vehicular Time-Sensitive Networks. - Leiye Liu, Miao Zhang, Jihao Yin, Tingwei Liu, Wei Ji, Yongri Piao, Huchuan Lu:
DefMamba: Deformable Visual State Space Model. - Hao Zhang, Yanping Zha, Qingwei Zhuang, Zhenfeng Shao, Jiayi Ma:
Robust Fusion Controller: Degradation-aware Image Fusion with Fine-grained Language Instructions. - Jaskirat Singh, Junshen Kevin Chen, Jonas Kohler, Michael Cohen:
Storybooth: Training-free Multi-Subject Consistency for Improved Visual Storytelling. - Jianyu Liu, Yi Huang, Sheng Bi, Junlan Feng, Guilin Qi:
From Superficial to Deep: Integrating External Knowledge for Follow-up Question Generation Using Knowledge Graph and LLM. - Finn Bohte, Theophile Louvet, Vincent Maillou, Marc Serra-Garcia:
Mass-Spring Models for Passive Keyword Spotting: A Springtronics Approach. - Yihuan Huang, Jiajun Liu, Yanzhen Ren, Wuyang Liu, Juhua Tang:
SE4Lip: Speech-Lip Encoder for Talking Head Synthesis to Solve Phoneme-Viseme Alignment Ambiguity. - Yiming Tang, Yi Fan, Chenxiao Yu, Tiankai Yang, Yue Zhao, Xiyang Hu:
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization. - Seongmin Park, Mincheol Yoon, Hye-young Kim, Jongwuk Lee:
Why is Normalization Necessary for Linear Recommenders? - Seungyoon Woo, Junhyeog Yun, Gunhee Kim:
Meta-Continual Learning of Neural Fields. - Hao Wu, Shengtian Yang, Jun Chen, Chao Chen, Anding Wang:
Low-Complexity AoI-Optimal Status Update Control with Partial Battery State Information in Energy Harvesting IoT Networks. - Pawel Tomasz Pieta, Peter Winkel Rasumssen, Anders Bjorholm Dahl, Anders Nymark Christensen:
Fast Sphericity and Roundness approximation in 2D and 3D using Local Thickness. - Xinpeng Ding, Kui Zhang, Jianhua Han, Lanqing Hong, Hang Xu, Xiaomeng Li:
PaMi-VDPO: Mitigating Video Hallucinations by Prompt-Aware Multi-Instance Video Preference Learning. - Qingyang Zhang, Haitao Wu, Changqing Zhang, Peilin Zhao, Yatao Bian:
Right Question is Already Half the Answer: Fully Unsupervised LLM Reasoning Incentivization. - Jiahao Chen, Yu Pan, Yi Du, Chunkai Wu, Lin Wang:
Parasite: A Steganography-based Backdoor Attack Framework for Diffusion Models. - Alessio Mora, Carlo Mazzocca, Rebecca Montanari, Paolo Bellavista:
Federated Unlearning Made Practical: Seamless Integration via Negated Pseudo-Gradients. - Zhang Dong, Songhang deng, Mingbang Wang, Le Dai, Jiyuan Li, Xingzu Liu, Ruilin Nong:
End-to-End Dialog Neural Coreference Resolution: Balancing Efficiency and Accuracy in Large-Scale Systems. - Yingxin Zhang, Lin Zhou, Qiaosheng Zhang:
Capacity Region for Covert Secret Key Generation over Multiple Access Channels. - Shiao Wang, Xiao Wang, Bo Jiang, Lin Zhu, Guoqi Li, Yaowei Wang, Yonghong Tian, Jin Tang:
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset. - Mingye Zhu, Yi Liu, Junbo Guo, Quan Wang, Yong-Dong Zhang, Zhendong Mao:
Leveraging Robust Optimization for LLM Alignment under Distribution Shifts. - Pavlo Mykytyn, Ronald Chitauro, Zoya Dyka, Peter Langendoerfer:
Channel State Information Analysis for Jamming Attack Detection in Static and Dynamic UAV Networks - An Experimental Study. - Wenyu Wang, Yiquan Zhou, Jihua Zhu, Hongwu Ding, Jiacheng Xu, Shihao Li:
AVENet: Disentangling Features by Approximating Average Features for Voice Conversion. - Junxi Chen, Junhao Dong, Xiaohua Xie:
Mind the Trojan Horse: Image Prompt Adapter Enabling Scalable and Deceptive Jailbreaking. - Dolton Fernandes, Pramod S. Kaushik, Harsh Shukla, Bapi Raju Surampudi:
Momentum Boosted Episodic Memory for Improving Learning in Long-Tailed RL Environments. - Tianyi Jiang, Zeyu Wang, Shanqing Yu, Qi Xuan:
Adaptive Substructure-Aware Expert Model for Molecular Property Prediction. - Jooyoung Hahn, Karol Mikula, Peter Frolkovic:
Eikonal boundary condition for level set method. - Steeve Cuthbert Marcelyn, Yucen Gao, Yuzhe Zhang, Xiaofeng Gao, Guihai Chen:
PathGPT: Leveraging Large Language Models for Personalized Route Generation. - Clara Boukhemia:
Réduire le bruit grâce à la réalité augmentée sonore - Auditory Concealer. - Julian Lorenz, Katja Ludwig, Valentin Haug, Rainer Lienhart:
On the Importance of Conditioning for Privacy-Preserving Data Augmentation. - Denivan Campos, Luana Almeida Martins, Emanuela Guglielmi, Michele Tucci, Daniele Di Pompeo, Simone Scalabrino, Vittorio Cortellessa, Dario Di Nucci, Rocco Oliveto:
Identifying and Replicating Code Patterns Driving Performance Regressions in Software Systems. - Nikolaj Takata Mücke, Benjamin Sanderse:
Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants.
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