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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 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. - (Withdrawn) 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,