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ORCIDCoRR, August 2025
Volume 2025-08, August 2025
- Kaustav Bhattacharjee
, Jun Yuan, Aritra Dasgupta:
ReVise: A Human-AI Interface for Incremental Algorithmic Recourse. - Kang Rong Roy Ang:
Building Bigraphs of the real world. - Dazhu Li, Sujata Ghosh, Fenrong Liu:
Reasoning under uncertainty in the game of Cops and Robbers. - Tilman Hinnerichs, Bart Swinkels, Jaap de Jong, Reuben Gardos Reid, Tudor Magirescu, Neil Yorke-Smith, Sebastijan Dumancic:
Modelling Program Spaces in Program Synthesis with Constraints. - Gaowei Chang, Eidan Lin, Chengxuan Yuan, Rizhao Cai, Binbin Chen, Xuan Xie, Yin Zhang:
Agent Network Protocol Technical White Paper. - Sourav Mondal, Elaine Wong:
Enabling Immersive XR Collaborations over FTTR Networks (Invited). - Ruibo Wang, Baha Eddine Youcef Belmekki, Howard H. Yang, Mohamed-Slim Alouini:
Non-Terrestrial Network Models Using Stochastic Geometry: Planar or Spherical? - Ahmet Melih Ince, Ayse Elif Canbilen, Halim Yanikomeroglu:
AoI-Aware Resource Allocation with Deep Reinforcement Learning for HAPS-V2X Networks. - Zurabi Kobaladze, Anna Arnania, Tamar Sanikidze:
From Provable Correctness to Probabilistic Generation: A Comparative Review of Program Synthesis Paradigms. - Isa Vialard:
Deciding the Value of Two-Clock Almost Non-Zeno Weighted Timed Games. - Matt Kaufmann, J Strother Moore:
Extended Abstract: Partial-encapsulate and Its Support for Floating-point Operations in ACL2. 56-59 - Matt Kaufmann, Yahya Sohail, Warren A. Hunt Jr.:
Extended Abstract: Mutable Objects with Several Implementations. 60-64 - Nikolai Sergeev:
Generative Logic: A New Computer Architecture for Deterministic Reasoning and Knowledge Generation. - Ferdaous Tarhouni, Ruibo Wang, Mohamed-Slim Alouini:
Performance Analysis of SAGIN from the Relay Perspective: A Spherical Stochastic Geometry Approach. - Thomas A. Henzinger, Konstantin Kueffner, Vasu Singh, I Sun:
Alignment Monitoring. - Abir Ray:
Scalable Spectrum Availability Prediction using a Markov Chain Framework and ITU-R Propagation Models. - Junde Wu:
Git Context Controller: Manage the Context of LLM-based Agents like Git. - Alessio Buscemi, Daniele Proverbio, Alessandro Di Stefano, The Anh Han, German Castignani, Pietro Liò:
Strategic Communication and Language Bias in Multi-Agent LLM Coordination. - Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes, Bruno D. Ferreira-Saraiva, João Pedro Matos-Carvalho:
GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries. - Tong Nie, Jian Sun, Wei Ma:
Predicting Large-scale Urban Network Dynamics with Energy-informed Graph Neural Diffusion. - Kaustav Chatterjee, Joshua Q. Li, Fatemeh Ansari, Masud Rana Munna, Kundan Parajulee, Jared Schwennesen:
Hybrid LSTM-Transformer Models for Profiling Highway-Railway Grade Crossings. - Abhinav Das, Stephan Schlüter:
Regime-Aware Conditional Neural Processes with Multi-Criteria Decision Support for Operational Electricity Price Forecasting. - Yebo Wu, Jingguang Li, Zhijiang Guo, Li Li:
Learning Like Humans: Resource-Efficient Federated Fine-Tuning through Cognitive Developmental Stages. - Athanasios Tziouvaras, Carolina Fortuna, George Floros, Kostas Kolomvatsos, Panagiotis Sarigiannidis, Marko Grobelnik, Blaz Bertalanic:
Towards Reliable AI in 6G: Detecting Concept Drift in Wireless Network. - Nhut Truong, Uri Hasson:
Improved Robustness and Functional Localization in Topographic CNNs Through Weight Similarity. - Samah Kansab:
Machine Learning Pipeline for Software Engineering: A Systematic Literature Review. - Ruo Yu Tao, Kaicheng Guo, Cameron Allen, George Dimitri Konidaris:
Benchmarking Partial Observability in Reinforcement Learning with a Suite of Memory-Improvable Domains. - Yuan-Cheng Yu, Yen-Chieh Ouyang, Chun-An Lin:
TriP-LLM: A Tri-Branch Patch-wise Large Language Model Framework for Time-Series Anomaly Detection. - Jie Zhu, Yiyang Su, Minchul Kim, Anil K. Jain, Xiaoming Liu:
A Quality-Guided Mixture of Score-Fusion Experts Framework for Human Recognition. - Imen Mahmoud, Andrei Velichko:
Evaluating COVID 19 Feature Contributions to Bitcoin Return Forecasting: Methodology Based on LightGBM and Genetic Optimization. - Oshayer Siddique, J. M. Areeb Uzair Alam, Md Jobayer Rahman Rafy, Syed Rifat Raiyan, Hasan Mahmud, Md. Kamrul Hasan:
PhysicsEval: Inference-Time Techniques to Improve the Reasoning Proficiency of Large Language Models on Physics Problems. - Fred Mutisya, Shikoh Gitau, Nasubo Ongoma, Keith Mbae, Elizabeth Wamicha:
Rethinking Evidence Hierarchies in Medical Language Benchmarks: A Critical Evaluation of HealthBench. - Yihong Dong, Xue Jiang, Jiaru Qian, Tian Wang, Kechi Zhang, Zhi Jin, Ge Li:
A Survey on Code Generation with LLM-based Agents. - Raiyaan Abdullah, Jared Claypoole, Michael Cogswell, Ajay Divakaran, Yogesh S. Rawat:
Punching Bag vs. Punching Person: Motion Transferability in Videos. - Kelly Kendro, Jeffrey Maloney, Scott Jarvis:
Do LLMs produce texts with "human-like" lexical diversity? - Mateo de Mayo, Daniel Cremers, Taihú Pire:
The Monado SLAM Dataset for Egocentric Visual-Inertial Tracking. - Zachary K. Stine, James E. Deitrick:
Semiotic Complexity and Its Epistemological Implications for Modeling Culture. - David R. Nicholus:
Zeroing Diagonals, Conjugate Hollowization, and Characterizing Nondefinite Operators. - Zhigen Zhao, Liuchuan Yu, Ke Jing, Ning Yang:
XRoboToolkit: A Cross-Platform Framework for Robot Teleoperation. - Ashkan Shakarami, Yousef Yeganeh, Azade Farshad, Lorenzo Nicolè, Stefano Ghidoni, Nassir Navab:
Stress-Aware Resilient Neural Training. - Alena Kopanicáková, Youngkyu Lee, George Em Karniadakis:
Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method. - Guilherme Corredato Guerino, Luiz A. L. Rodrigues, Luana Bianchini, Mariana Alves, Marcelo Marinho, Thomaz Edson Veloso da Silva, Valmir Macario, Diego Dermeval, Thales Vieira, Ig Ibert Bittencourt, Seiji Isotani:
A Mixed User-Centered Approach to Enable Augmented Intelligence in Intelligent Tutoring Systems: The Case of MathAIde app. - Ernest Bonnah, Luan Viet Nguyen, Khaza Anuarul Hoque:
Hyperproperty-Constrained Secure Reinforcement Learning. - Jan Simson:
Decoupling Data and Tooling in Interactive Visualization. - Mingda Chen, Yang Li, Xilun Chen, Adina Williams, Gargi Ghosh, Scott Yih:
FACTORY: A Challenging Human-Verified Prompt Set for Long-Form Factuality. - Wil M. P. van der Aalst:
No AI Without PI! Object-Centric Process Mining as the Enabler for Generative, Predictive, and Prescriptive Artificial Intelligence. - Md. Ehsanul Haque, S. M. Jahidul Islam, Shakil Mia, Rumana Sharmin, Ashikuzzaman, Md Samir Morshed, Md. Tahmidul Huque:
StackLiverNet: A Novel Stacked Ensemble Model for Accurate and Interpretable Liver Disease Detection. - Xiao Zhang, Johan Bos:
Is neural semantic parsing good at ellipsis resolution, or isn't it? - Saleh Nikooroo, Thomas Engel:
Structured Transformations for Stable and Interpretable Neural Computation. - Md Nazmul Haque, Hua Yang, Zhou Yang, Bowen Xu:
How Quantization Impacts Privacy Risk on LLMs for Code? - Agustín Borda, Juan Bautista Cabral, Gonzalo Giarda, Diego Nicolás Gimenez Irusta, Paula Pacheco, Alvaro Roy Schachner:
Algorithmic Detection of Rank Reversals, Transitivity Violations, and Decomposition Inconsistencies in Multi-Criteria Decision Analysis. - Drew Gao, Yihang Sun, Jan Vondrák:
Computation of Approximately Stable Committees in Approval-based Elections. - Christopher J. Harvey, Sumaiya Shomaji, Zijun Yao, Amit Noheria:
ECG Latent Feature Extraction with Autoencoders for Downstream Prediction Tasks. - Basna Mohammed Salih Hasan, Ramadhan J. Mstafa:
Exploring the Feasibility of Deep Learning Techniques for Accurate Gender Classification from Eye Images. - Shqiponja Ahmetaj, George Konstantinidis, Magdalena Ortiz, Paolo Pareti, Mantas Simkus:
SHACL Validation under Graph Updates (Extended Paper). - Rashid Mushkani, Hugo Berard, Toumadher Ammar, Cassandre Chatonnier, Shin Koseki:
Co-Producing AI: Toward an Augmented, Participatory Lifecycle. - Zhanna Kaufman, Madeline Endres, Cindy Xiong Bearfield, Yuriy Brun:
Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models. - Mohit Gupta, Debjit Bhowmick, Rhys Newbury, Meead Saberi, Shirui Pan, Ben Beck:
INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks. - Danielle R. Thomas, Conrad Borchers, Kenneth R. Koedinger:
Beyond Agreement: Rethinking Ground Truth in Educational AI Annotation. - Akshat Rakheja, Aarsh Ashdhir, Aryan Bhattacharjee, Vanshika Sharma:
World Consistency Score: A Unified Metric for Video Generation Quality. - Katinka den Nijs, Elisa Omodei, Vedran Sekara:
Data Bias in Human Mobility is a Universal Phenomenon but is Highly Location-specific. - Faruk Alpay, Hamdi Al Alakkad:
Ordinal Folding Index: A Computable Metric for Self-Referential Semantics. - Li Mi, Manon Béchaz, Zeming Chen, Antoine Bosselut, Devis Tuia:
GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration. - Sayed Mahbub Hasan Amiri, Prasun Goswami, Md. Mainul Islam, Mohammad Shakhawat Hossen, Marzana Mithila, Naznin Akter:
Green Computing: The Ultimate Carbon Destroyer for a Sustainable Future. - Babak Esmaeili, Hamidreza Modares, Stefano Di Cairano:
Data-Driven Motion Planning for Uncertain Nonlinear Systems. - Shuhao Qi, Zhiqi Tang, Zhiyong Sun, Sofie Haesaert:
Integrating Opinion Dynamics into Safety Control for Decentralized Airplane Encounter Resolution. - Jobst Heitzig, Ram Potham:
Model-Based Soft Maximization of Suitable Metrics of Long-Term Human Power. - Ziqing Xu, Nick Bryan-Kinns:
DeformTune: A Deformable XAI Music Prototype for Non-Musicians. - Ziqian Zhong, Aditi Raghunathan:
Watch the Weights: Unsupervised monitoring and control of fine-tuned LLMs. - Noboru Myers, Obin Kwon, Sankalp Yamsani, Joohyung Kim:
CHILD (Controller for Humanoid Imitation and Live Demonstration): a Whole-Body Humanoid Teleoperation System. - Bhavya Goyal, Felipe Gutierrez-Barragan, Wei Lin, Andreas Velten, Yin Li, Mohit Gupta:
Robust 3D Object Detection using Probabilistic Point Clouds from Single-Photon LiDARs. - David S. Restrepo, Sofia Ira Ktena, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Ferrante:
On the Risk of Misleading Reports: Diagnosing Textual Biases in Multimodal Clinical AI. - Fupei Guo, Hao Zheng, Xiang Zhang, Li Chen, Yue Wang, Songyang Zhang:
DiSC-Med: Diffusion-based Semantic Communications for Robust Medical Image Transmission. - Yongchao Huang:
RL as Regressor: A Reinforcement Learning Approach for Function Approximation. - José Guadalupe Romero, Romeo Ortega, Leyan Fang, Alexey A. Bobtsov:
Adaptive Compensation of Nonlinear Friction in Mechanical Systems Without Velocity Measurement. - Brian Houck, Travis Lowdermilk, Cody Beyer, Steven Clarke, Benjamin V. Hanrahan:
The SPACE of AI: Real-World Lessons on AI's Impact on Developers. - Adam Block, Cyril Zhang:
EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes. - Ching-Fang Li, Mary Wootters:
Improved Bounds on Access-Redundancy Tradeoffs in Quantized Linear Computations. - Alper Yaman, Jannik Schwab, Christof Nitsche, Abhirup Sinha, Marco F. Huber:
Comparison of Large Language Models for Deployment Requirements. - Renyan Sun, Ashutosh Nayyar:
Optimal Messaging Strategy for Incentivizing Agents in Dynamic Systems. - Yuxi Xie, Ethan J. Wu, Lu Xu, Jimmy Perez, Shaofan Li:
A Practical Finite Element Approach for Simulating Dynamic Crack Growth in Cu/Ultra Low-k Interconnect Structures. - Firat Öncel, Emiliano Penaloza, Haolun Wu, Shubham Gupta, Mirco Ravanelli, Laurent Charlin, Cem Subakan:
Audio Prototypical Network For Controllable Music Recommendation. - Eric Mjolsness, Cory B. Scott:
Graph Lineages and Skeletal Graph Products. - Cleyton V. C. de Magalhães, Ítalo Santos, Brody Stuart-Verner, Ronnie de Souza Santos:
Testing the Untestable? An Empirical Study on the Testing Process of LLM-Powered Software Systems. - Mehdi Ben Ayed, Fei Feng, Jay Adams, Vishwakarma Singh, Kritarth Anand, Jiajing Xu:
RecoMind: A Reinforcement Learning Framework for Optimizing In-Session User Satisfaction in Recommendation Systems. - Ecem Bozkurt, Antonio Ortega:
Robust Classification under Noisy Labels: A Geometry-Aware Reliability Framework for Foundation Models. - Xiangyu Kong, Hengde Zhu, Haoqin Sun, Zhihao Guo, Jiayan Gu, Xinyi Ni, Wei Zhang, Shizhe Liu, Siyang Song:
Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition. - Esen K. Tütüncü, Mar González-Franco, Eric J. Gonzalez:
HandOver: Enabling Precise Selection & Manipulation of 3D Objects with Mouse and Hand Tracking. - J. Fernando Hernandez-Garcia, Shibhansh Dohare, Jun Luo, Richard S. Sutton:
Reinitializing weights vs units for maintaining plasticity in neural networks. - Shayan Jalilian, Abdul Bais:
SAM-PTx: Text-Guided Fine-Tuning of SAM with Parameter-Efficient, Parallel-Text Adapters. - Xiaofeng Wu, Alan Ritter, Wei Xu:
Tabular Data Understanding with LLMs: A Survey of Recent Advances and Challenges. - Aymane Abdali, Bartosz Boguslawski, Lucas Drumetz, Vincent Gripon:
Object-Centric Cropping for Visual Few-Shot Classification. - Rana Aref Salama, Abdou Youssef, Mona T. Diab:
Semantic Compression for Word and Sentence Embeddings using Discrete Wavelet Transform. - Sam Bender, Christopher Beattie:
Partial Floquet Transformation and Model Order Reduction of Linear Time-Periodic Systems. - Yihong Dong, Xue Jiang, Yongding Tao, Huanyu Liu, Kechi Zhang, Lili Mou, Rongyu Cao, Yingwei Ma, Jue Chen, Binhua Li, Zhi Jin, Fei Huang, Yongbin Li, Ge Li:
RL-PLUS: Countering Capability Boundary Collapse of LLMs in Reinforcement Learning with Hybrid-policy Optimization. - Aashay Arora, Diego Davila, Frank Würthwein, John J. Graham, Dima Mishin, Justas Balcas, Tom Lehman, Xi Yang, Chin Guok, Harvey B. Newman:
Benchmarking XRootD-HTTPS on 400Gbps Links with Variable Latencies. - Piotr Urbanczyk, Aleksandra Urbanczyk, Magdalena Król, Leszek Rutkowski, Marek Kisiel-Dorohinicki:
Sequential, Parallel and Consecutive Hybrid Evolutionary-Swarm Optimization Metaheuristics. - Paul Albert, Frederic Z. Zhang, Hemanth Saratchandran, Anton van den Hengel, Ehsan Abbasnejad:
Towards Higher Effective Rank in Parameter-efficient Fine-tuning using Khatri-Rao Product. - Douglas Markant, Subham Sah, Alireza Karduni, Milad Rogha, My T. Thai, Wenwen Dou:
Correcting Misperceptions at a Glance: Using Data Visualizations to Reduce Political Sectarianism. - Jin Yang, Qiong Wu, Zhiying Feng, Zhi Zhou, Deke Guo, Xu Chen:
Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts. - Bryce Anderson, Riley Galpin, Tom S. Juzek:
Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken English. - Jacqueline Elise Bruen, Myounghoon Jeon:
What's Behind the Magic? Audiences Seek Artistic Value in Generative AI's Contributions to a Live Dance Performance. - Yiding Lin, Valeria Simoncini:
A reduced-IRKA method for large-scale ℋ2-optimal model order reduction. - Briza Mel Dias de Sousa, Renato Cordeiro Ferreira, Alfredo Goldman:
Functional vs. Object-Oriented: Comparing How Programming Paradigms Affect the Architectural Characteristics of Systems. - Chenggang Guo, Hao Xu, XianMing Wan:
Guided Depth Map Super-Resolution via Multi-Scale Fusion U-shaped Mamba Network. - Yu Chen, Hongwei Lin:
Robust Model Reconstruction Based on the Topological Understanding of Point Clouds Using Persistent Homology. - Wataru Kawabe, Hiroto Fukuda, Akihisa Shitara, Yuri Nakao, Yusuke Sugano:
TofuML: A Spatio-Physical Interactive Machine Learning Device for Interactive Exploration of Machine Learning for Novices. - Moumita Asad, Rafed Muhammad Yasir, Armin Geramirad, Sam Malek:
Leveraging Large Language Model for Information Retrieval-based Bug Localization. - Boqi Chen, Ou Wei, Bingzhou Zheng, Gunter Mussbacher:
Accurate and Consistent Graph Model Generation from Text with Large Language Models. - Chuang Zhang, Geng Sun, Jiacheng Wang, Yijing Lin, Weijie Yuan, Sinem Coleri, Dusit Niyato, Tony Q. S. Quek:
Large AI Model-Enabled Secure Communications in Low-Altitude Wireless Networks: Concepts, Perspectives and Case Study. - Zhiwei Wu, Siyi Wei, Jiahao Luo, Jinhui Zhang:
Topology-Inspired Morphological Descriptor for Soft Continuum Robots. - Wentao Sun, Hanqing Xu, Quanyun Wu, Dedong Zhang, Yiping Chen, Lingfei Ma, John S. Zelek, Jonathan Li:
PointGauss: Point Cloud-Guided Multi-Object Segmentation for Gaussian Splatting. - Hyundong Jin, Hyung Jin Chang, Eunwoo Kim:
Instruction-Grounded Visual Projectors for Continual Learning of Generative Vision-Language Models. - Saichao Liu, Geng Sun, Chuan Zhang, Xuejie Liu, Jiacheng Wang, Changyuan Zhao, Dusit Niyato:
Energy Efficient Trajectory Control and Resource Allocation in Multi-UAV-assisted MEC via Deep Reinforcement Learning. - Jerry Huang, Peng Lu, Qiuhao Zeng:
Calibrated Language Models and How to Find Them with Label Smoothing. - Henghui Ding, Song Tang, Shuting He, Chang Liu, Zuxuan Wu, Yu-Gang Jiang:
Multimodal Referring Segmentation: A Survey. - Jian Xiao, Ji Wang, Qimei Cui, Yucang Yang, Xingwang Li, Dusit Niyato, Chau Yuen:
Channel Estimation for Flexible Intelligent Metasurfaces: From Model-Based Approaches to Neural Operators. - Robin Schmucker, Nimish Pachapurkar, Bala Shanmugam, Miral Shah, Tom M. Mitchell:
Learning to Optimize Feedback for One Million Students: Insights from Multi-Armed and Contextual Bandits in Large-Scale Online Tutoring. - Hongjin Qian, Zheng Liu:
MetaAgent: Toward Self-Evolving Agent via Tool Meta-Learning. - Wenyue Chong:
Towards Robust Semantic Correspondence: A Benchmark and Insights. - Shuichi Hirahara, Naoto Ohsaka:
Asymptotically Optimal Inapproximability of Ek-SAT Reconfiguration. - Jingchen Peng, Dingli Yuan, Boxiang Ren, Jie Fan, Hao Wu, Lu Yang:
WMAS: A Multi-Agent System Towards Intelligent and Customized Wireless Networks. - Yi-Long Lu, Jiajun Song, Chunhui Zhang, Wei Wang:
Mind the Gap: The Divergence Between Human and LLM-Generated Tasks. - Lihan Lian, Uduak Inyang-Udoh:
Neural Co-state Projection Regulator: A Model-free Paradigm for Real-time Optimal Control with Input Constraints. - Peixian Li, Yu Tian, Ruiqi Tu, Chengkai Wu, Jingjing Ren, Jingsong Li:
Integrating clinical reasoning into large language model-based diagnosis through etiology-aware attention steering. - Mohsen Zaker Esteghamati:
Toward using explainable data-driven surrogate models for treating performance-based seismic design as an inverse engineering problem. - Tran Viet Khoa, Do Hai Son, Mohammad Abu Alsheikh, Yibeltal F. Alem, Dinh Thai Hoang:
Privacy-Preserving Driver Drowsiness Detection with Spatial Self-Attention and Federated Learning. - Jianqiang Xiao, Yuexuan Sun, Yixin Shao, Boxi Gan, Rongqiang Liu, Yanjin Wu, Weili Guan, Xiang Deng:
UAV-ON: A Benchmark for Open-World Object Goal Navigation with Aerial Agents. - Christian Simon, Masato Ishii, Akio Hayakawa, Zhi Zhong, Shusuke Takahashi, Takashi Shibuya, Yuki Mitsufuji:
TITAN-Guide: Taming Inference-Time AligNment for Guided Text-to-Video Diffusion Models. - Md Sajidul Islam Sajid, Jinpeng Wei, Ehab Al-Shaer:
ranDecepter: Real-time Identification and Deterrence of Ransomware Attacks. - Md. Mazharul Islam, Diego Ferrer, Shamiul Alam, Juan P. Mendez, Denis Mamaluy, Wei Pan, Ahmedullah Aziz:
Reimagining Voltage-Controlled Cryogenic Boolean Logic Paradigm with Quantum-Enhanced Josephson Junction FETs. - Jin Lyu, Liang An, Li Lin, Pujin Cheng, Yebin Liu, Xiaoying Tang:
AniMer+: Unified Pose and Shape Estimation Across Mammalia and Aves via Family-Aware Transformer. - Danzhen Fu, Jiagao Hu, Daiguo Zhou, Fei Wang, Zepeng Wang, Wenhua Liao:
Controllable Pedestrian Video Editing for Multi-View Driving Scenarios via Motion Sequence. - Shruthi Chari, Oshani Seneviratne, Prithwish Chakraborty, Pablo Meyer, Deborah L. McGuinness:
MetaExplainer: A Framework to Generate Multi-Type User-Centered Explanations for AI Systems. - Zehui Xu, Junhui Wang, Yongliang Shi, Chao Gao, Guyue Zhou:
TopoDiffuser: A Diffusion-Based Multimodal Trajectory Prediction Model with Topometric Maps. - Tianyin Liao, Ziwei Zhang, Yufei Sun, Chunyu Hu, Jianxin Li:
Invariant Graph Transformer for Out-of-Distribution Generalization. - Ammar Ahmed, Sheng Di, Franck Cappello, Zirui Liu, Jingoo Han, Ali Anwar:
Systematic Evaluation of Optimization Techniques for Long-Context Language Models. - Chunyan She, Fujun Han, Chengyu Fang, Shukai Duan, Lidan Wang:
Exploring Fourier Prior and Event Collaboration for Low-Light Image Enhancement. - Yufeng Zhong, Zhixiong Zeng, Lei Chen, Longrong Yang, Liming Zheng, Jing Huang, Siqi Yang, Lin Ma:
DocTron-Formula: Generalized Formula Recognition in Complex and Structured Scenarios. - Suhang Cai, Xiaohao Peng, Chong Wang, Xiaojie Cai, Jiangbo Qian:
GV-VAD : Exploring Video Generation for Weakly-Supervised Video Anomaly Detection. - Wen-Chin Huang:
Advancing Speech Quality Assessment Through Scientific Challenges and Open-source Activities. - Sunghyun Park, Seokeon Choi, Hyoungwoo Park, Sungrack Yun:
Steering Guidance for Personalized Text-to-Image Diffusion Models. - Shuning Zhang, Ying Ma, Xin Yi, Hewu Li:
Evaluating the Efficacy of Large Language Models for Generating Fine-Grained Visual Privacy Policies in Homes. - Jianyi Zhang, Xu Ji, Ziyin Zhou, Yuchen Zhou, Shubo Shi, Haoyu Wu, Zhen Li, Shizhao Liu:
Oedipus and the Sphinx: Benchmarking and Improving Visual Language Models for Complex Graphic Reasoning. - Yeonjun In, Wonjoong Kim, Sangwu Park, Chanyoung Park:
R1-ACT: Efficient Reasoning Model Safety Alignment by Activating Safety Knowledge. - Yongquan Qu, Matthieu Blanke, Sara Shamekh, Pierre Gentine:
PnP-DA: Towards Principled Plug-and-Play Integration of Variational Data Assimilation and Generative Models. - Shuning Zhang, Ying Ma, Yongquan 'Owen' Hu, Ting Dang, Hong Jia, Xin Yi, Hewu Li:
From Patient Burdens to User Agency: Designing for Real-Time Protection Support in Online Health Consultations. - Lilika Makabe, Hiroaki Santo, Fumio Okura, Michael S. Brown, Yasuyuki Matsushita:
Spectral Sensitivity Estimation with an Uncalibrated Diffraction Grating. - George Wang, Garrett Baker, Andrew Gordon, Daniel Murfet:
Embryology of a Language Model. - Kaiyan Zhao, Zhongtao Miao, Yoshimasa Tsuruoka:
Improving Multimodal Contrastive Learning of Sentence Embeddings with Object-Phrase Alignment. - Shengheng Liu, Ningning Fu, Zhonghao Zhang, Yongming Huang, Tony Q. S. Quek:
Integrated user scheduling and beam steering in over-the-air federated learning for mobile IoT. - Keer Lu, Chong Chen, Bin Cui, Huang Leng, Wentao Zhang:
PilotRL: Training Language Model Agents via Global Planning-Guided Progressive Reinforcement Learning. - Yuga Kanaya, Kenjiro Takazawa:
On the Equivalence of the Graph-Structural and Optimization-Based Characterizations of Popular Matchings. - Qilin Liao, Shuo Yang, Bo Zhao, Ping Luo, Hengshuang Zhao:
BOOD: Boundary-based Out-Of-Distribution Data Generation. - Hyeonhak Kim, Donghoe Heo, Seokhie Hong:
Cryptanalysis of Isogeny-Based Quantum Money with Rational Points. - Tianshuang Qiu, Zehan Ma, Karim El-Refai, Hiya Shah, Chung Min Kim, Justin Kerr, Ken Goldberg:
Omni-Scan: Creating Visually-Accurate Digital Twin Object Models Using a Bimanual Robot with Handover and Gaussian Splat Merging. - Zhenghan Chen, Haocheng Xu, Haodong Zhang, Liang Zhang, He Li, Dongqi Wang, Jiyu Yu, Yifei Yang, Zhongxiang Zhou, Rong Xiong:
TOP: Time Optimization Policy for Stable and Accurate Standing Manipulation with Humanoid Robots. - Angelos Vlachos, Giorgos Filandrianos, Maria Lymperaiou, Nikolaos Spanos, Ilias Mitsouras, Vasileios Karampinis, Athanasios Voulodimos:
Analyze-Prompt-Reason: A Collaborative Agent-Based Framework for Multi-Image Vision-Language Reasoning. - Yoonhyuk Choi, Jiho Choi, Chong-Kwon Kim:
Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization. - Yan Gong, Mengjun Chen, Hao Liu, Yongsheng Gao, Lei Yang, Naibang Wang, Ziying Song, Haoqun Ma:
Stable at Any Speed: Speed-Driven Multi-Object Tracking with Learnable Kalman Filtering. - Zongheng Tang, Yi Liu, Yifan Sun, Yulu Gao, Jinyu Chen, Runsheng Xu, Si Liu:
CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective. - Alan Dao, Dinh Bach Vu, Alex Nguyen, Norapat Buppodom:
Lucy: edgerunning agentic web search on mobile with machine generated task vectors. - Mokhtar Al-Awadhi, Ratnadeep R. Deshmukh:
Honey Classification using Hyperspectral Imaging and Machine Learning. - Zhenghan Chen, Haodong Zhang, Dongqi Wang, Jiyu Yu, Haocheng Xu, Yue Wang, Rong Xiong:
A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot. - Chanyoung Yoon, Sangbong Yoo, Soobin Yim, Chansoo Kim, Yun Jang:
OID-PPO: Optimal Interior Design using Proximal Policy Optimization by Transforming Design Guidelines into Reward Functions. - Liang Han, Xu Zhang, Haichuan Song, Kanle Shi, Yu-Shen Liu, Zhizhong Han:
SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies. - Joonmyung Choi, Sanghyeok Lee, Byungoh Ko, Eunseo Kim, Jihyung Kil, Hyunwoo J. Kim:
Representation Shift: Unifying Token Compression with FlashAttention. - Alessandro Gaudenzi, Lorenzo Nodari, Lance M. Kaplan, Alessandra Russo, Murat Sensoy, Federico Cerutti:
Preliminary Investigation into Uncertainty-Aware Attack Stage Classification. - (Withdrawn) EdgeInfinite-Instruct: Bridging SFT-Based Optimization and NPU-Level Efficiency for Edge Devices.
- Yuji Sato, Yasunori Ishii, Takayoshi Yamashita:
Bidirectional Action Sequence Learning for Long-term Action Anticipation with Large Language Models. - Daniel F. Martin, Milo R. Dorr, Mikhail A. Dorf, Lee F. Ricketson:
A COGENT case study: Supporting Applications with Chombo. - (Withdrawn) CoRGI: Verified Chain-of-Thought Reasoning with Visual Grounding.
- Yuan Fang, Xianxin Song, Huazhou Hou, Ziguo Zhong, Xianghao Yu, Jie Xu, Yongming Huang:
Active IRS-Enabled Integrated Sensing and Communications with Extended Targets. - Kebin Sun, Tao Jiang, Ran Cheng, Yaochu Jin, Kay Chen Tan:
Evolutionary Generative Optimization: Towards Fully Data-Driven Evolutionary Optimization via Generative Learning. - Kamal Basha S, Athira Nambiar:
Advancing Welding Defect Detection in Maritime Operations via Adapt-WeldNet and Defect Detection Interpretability Analysis. - Won June Cho, Hongjun Yoon, Daeky Jeong, Hyeongyeol Lim, Yosep Chong:
MVHybrid: Improving Spatial Transcriptomics Prediction with Hybrid State Space-Vision Transformer Backbone in Pathology Vision Foundation Models. - Juanwu Lu, Rohit Gupta, Ahmadreza Moradipari, Kyungtae Han, Ruqi Zhang, Ziran Wang:
On Learning Closed-Loop Probabilistic Multi-Agent Simulator. - Dingzirui Wang, Xuangliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng:
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness. - Zeqi Zheng, Zizheng Zhu, Yingchao Yu, Yanchen Huang, Changze Lv, Junfeng Tang, Zhaofei Yu, Yaochu Jin:
STF: Shallow-Level Temporal Feedback to Enhance Spiking Transformers. - Hengxing Cai, Jinhan Dong, Yijie Rao, Jingcheng Deng, Jingjun Tan, Qien Chen, Haidong Wang, Zhen Wang, Shiyu Huang, Agachai Sumalee, Renxin Zhong:
SA-GCS: Semantic-Aware Gaussian Curriculum Scheduling for UAV Vision-Language Navigation. - Guanjie Huang, Danny H. K. Tsang, Shan Yang, Guangzhi Lei, Li Liu:
Cued-Agent: A Collaborative Multi-Agent System for Automatic Cued Speech Recognition. - Lijun Zhang, Wenhao Yang, Guanghui Wang, Wei Jiang, Zhi-Hua Zhou:
Dual Adaptivity: Universal Algorithms for Minimizing the Adaptive Regret of Convex Functions. - Antonis Klironomos, Baifan Zhou, Zhipeng Tan, Zhuoxun Zheng, Mohamed H. Gad-Elrab, Heiko Paulheim, Evgeny Kharlamov:
ExeKGLib: A Platform for Machine Learning Analytics based on Knowledge Graphs. - Fei Zhang, Tianfei Zhou, Jiangchao Yao, Ya Zhang, Ivor W. Tsang, Yanfeng Wang:
Decouple before Align: Visual Disentanglement Enhances Prompt Tuning. - Xi Xue, Kunio Suzuki, Nabarun Goswami, Takuya Shintate:
Video Forgery Detection with Optical Flow Residuals and Spatial-Temporal Consistency. - Sunjae Yoon, Gwanhyeong Koo, Younghwan Lee, Ji Woo Hong, Chang D. Yoo:
Occlusion-robust Stylization for Drawing-based 3D Animation. - Raiyaan Abdullah, Yogesh Singh Rawat, Shruti Vyas:
iSafetyBench: A video-language benchmark for safety in industrial environment. - Janika Deborah Gajo, Gerarld Paul Merales, Jerome Escarcha, Brenden Ashley Molina, Gian Nartea, Emmanuel G. Maminta, Juan C. Roldán, Rowel O. Atienza:
Sari Sandbox: A Virtual Retail Store Environment for Embodied AI Agents. - Riddhi J. Pitliya, Ozan Çatal, Toon Van de Maele, Corrado Pezzato, Tim Verbelen:
Theory of Mind Using Active Inference: A Framework for Multi-Agent Cooperation. - Rongsheng Zhang, Ruichen Zhang, Yang Lu, Wei Chen, Bo Ai, Dusit Niyato:
Mamba for Wireless Communications and Networking: Principles and Opportunities. - Tao Wu, Jingyuan Ye, Ying Fu:
PMR: Physical Model-Driven Multi-Stage Restoration of Turbulent Dynamic Videos. - Dong Huang, Jie M. Zhang, Mark Harman, Qianru Zhang, Mingzhe Du, See-Kiong Ng:
Benchmarking LLMs for Unit Test Generation from Real-World Functions. - Zizhuo Zhang, Jianing Zhu, Xinmu Ge, Zihua Zhao, Zhanke Zhou, Xuan Li, Xiao Feng, Jiangchao Yao, Bo Han:
Co-Reward: Self-supervised Reinforcement Learning for Large Language Model Reasoning via Contrastive Agreement. - Hanqi Chen, Xu Zhang, Xiaoliu Guan, Lielin Jiang, Guanzhong Wang, Zeyu Chen, Yi Liu:
Sortblock: Similarity-Aware Feature Reuse for Diffusion Model. - Junyu Chen, Dongyun Zou, Wenkun He, Junsong Chen, Enze Xie, Song Han, Han Cai:
DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space. - Tianqing Fang, Zhisong Zhang, Xiaoyang Wang, Rui Wang, Can Qin, Yuxuan Wan, Jun-Yu Ma, Ce Zhang, Jiaqi Chen, Xiyun Li, Hongming Zhang, Haitao Mi, Dong Yu:
Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training. - Yue Yang, Yuxiang Lin, Ying Zhang, Zihan Su, Chang Chuan Goh, Tangtangfang Fang, Anthony Graham Bellotti, Boon Giin Lee:
Transforming Credit Risk Analysis: A Time-Series-Driven ResE-BiLSTM Framework for Post-Loan Default Detection. - Sangwoo Youn, Minji Lee, Tony Nokap Park, Yeonggyoo Jeon, Taeyoung Na:
IN2OUT: Fine-Tuning Video Inpainting Model for Video Outpainting Using Hierarchical Discriminator. - Varun Bharti, Shashwat Jha, Dhruv Kumar, Pankaj Jalote:
Loop Invariant Generation: A Hybrid Framework of Reasoning optimised LLMs and SMT Solvers. - Rana Aref Salama, Abdou Youssef, Mona T. Diab:
Combining Discrete Wavelet and Cosine Transforms for Efficient Sentence Embedding. - Runmin Cong, Zongji Yu, Hao Fang, Haoyan Sun, Sam Kwong:
UIS-Mamba: Exploring Mamba for Underwater Instance Segmentation via Dynamic Tree Scan and Hidden State Weaken. - Varun Bharti, Shashwat Jha, Dhruv Kumar, Pankaj Jalote:
Automated Type Annotation in Python Using Large Language Models. - Kresimir Matkovic, Rainer Splechtna, Denis Gracanin, Helwig Hauser:
CrossSet: Unveiling the Complex Interplay of Two Set-typed Dimensions in Multivariate Data. - Rohan Gandhi, Ankur Mallick, Ken Sueda, Rui Liang:
Tetris: Efficient Intra-Datacenter Calls Packing for Large Conferencing Services. - Seunggeun Chi, Enna Sachdeva, Pin-Hao Huang, Kwonjoon Lee:
Contact-Aware Amodal Completion for Human-Object Interaction via Multi-Regional Inpainting. - Nan Xiang, Tianyi Liang, Haiwen Huang, Shiqi Jiang, Hao Huang, Yifei Huang, Liangyu Chen, Changbo Wang, Chenhui Li:
Sel3DCraft: Interactive Visual Prompts for User-Friendly Text-to-3D Generation. - Minghao Guo, Xi Zhu, Jingyuan Huang, Kai Mei, Yongfeng Zhang:
ReaGAN: Node-as-Agent-Reasoning Graph Agentic Network. - Yuqi Qian, Yun Cao, Meiyang Lv, Haocheng Fu:
Accurate Latent Inversion for Generative Image Steganography via Rectified Flow. - Subin Park, Jeonghyun Kim, Jeanne Choi, Joseph Seering, Uichin Lee, Sung-Ju Lee:
HateBuffer: Safeguarding Content Moderators' Mental Well-Being through Hate Speech Content Modification. - Miguel Angel Pérez-Cutiño, Juan Valverde, Jesús Capitán, José Miguel Díaz-Báñez:
Reducing the gap between general purpose data and aerial images in concentrated solar power plants. - Daichi Mukunoki:
DGEMM without FP64 Arithmetic - Using FP64 Emulation and FP8 Tensor Cores with Ozaki Scheme. - Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng:
TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation. - Longfei Huang, Yu Liang, Hao Zhang, Jinwei Chen, Wei Dong, Lunde Chen, Wanyu Liu, Bo Li, Peng-Tao Jiang:
SDMatte: Grafting Diffusion Models for Interactive Matting. - Hongyi Cai, Mohammad Mahdinur Rahman, Mingkang Dong, Jie Li, Muxin Pu, Zhili Fang, Yinan Peng, Hanjun Luo, Yang Liu:
AutoDebias: Automated Framework for Debiasing Text-to-Image Models. - Anju Rani, Daniel Ortiz Arroyo, Petar Durdevic:
CLIPTime: Time-Aware Multimodal Representation Learning from Images and Text. - Hongxiang Lin, Hao Guo, Zeshun Li, Erpeng Xue, Yongqian He, Xiangyu Hou, Zhaoyu Hu, Lei Wang, Sheng Chen:
When Relevance Meets Novelty: Dual-Stable Periodic Optimization for Exploratory Recommendation. - Ruikun Li, Jiazhen Liu, Huandong Wang, Qingmin Liao, Yong Li:
WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network. - Chuan He, Yongchao Liu, Qiang Li, Wenliang Zhong, Chuntao Hong, Xin Yao:
M^2VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation. - Baisong Li, Xingwang Wang, Haixiao Xu:
PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRA. - Yuqi Tang, Kehua Feng, Yunfeng Wang, Zhiwen Chen, Chengfei Lv, Gang Yu, Qiang Zhang, Keyan Ding:
Learning an Efficient Multi-Turn Dialogue Evaluator from Multiple Judges. - Jiuyu Liu, Yi Ma, Rahim Tafazolli:
LO-Aware Adaptive Modulation for Rydberg Atomic Receivers. - Andrea Asperti, Alberto Naibo, Claudio Sacerdoti Coen:
Thinking Machines: Mathematical Reasoning in the Age of LLMs. - Linus Ververs, Lutz Prechelt:
Managing Power Gaps as a Topic of Pair Programming Skill: A Grounded Theory. - Samratul Fuady, Danesh Tarapore, Mohammad Divband Soorati:
SubCDM: Collective Decision-Making with a Swarm Subset. - Yiwen Wang, Xinning Chai, Yuhong Zhang, Zhengxue Cheng, Jun Zhao, Rong Xie, Li Song:
Semantic and Temporal Integration in Latent Diffusion Space for High-Fidelity Video Super-Resolution. - Leonidas Akritidis, Panayiotis Bozanis:
A Conditional GAN for Tabular Data Generation with Probabilistic Sampling of Latent Subspaces. - Jiaping Cao, Kangkang Zhou, Juan Du:
HyPCV-Former: Hyperbolic Spatio-Temporal Transformer for 3D Point Cloud Video Anomaly Detection. - Yunhao Ma, Yanyu Lin, Mingjing Li, Puli Quan, Chenlin Zhou, Wenyue Zhang, Zhiwei Zhong, Wanyi Jia, Xueke Zhu, Qingyan Meng, Huihui Zhou, Fengwei An:
E2ATST: A Temporal-Spatial Optimized Energy-Efficient Architecture for Training Spiking Transformer. - Jeongwoo Kang, Markarit Vartampetian, Felix Herron, Yongxin Zhou, Diandra Fabre, Gabriela González Sáez:
GETALP@AutoMin 2025: Leveraging RAG to Answer Questions based on Meeting Transcripts. - Yuzhuo Chen, Zehua Ma, Jianhua Wang, Kai Kang, Shunyu Yao, Weiming Zhang:
LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer. - Yuning Jiang, Nay Oo, Qiaoran Meng, Lu Lin, Dusit Niyato, Zehui Xiong, Hoon Wei Lim, Biplab Sikdar:
CyGATE: Game-Theoretic Cyber Attack-Defense Engine for Patch Strategy Optimization. - Erdem Yildirim, Albert Schimpf, Stefan Wehr, Annette Bieniusa:
Semantic Subtyping for Maps in Erlang. - Aernout H. J. Schmidt, Kunbei Zhang:
A Frame for Communication Control. - Yixuan Tang, Jincheng Wang, Anthony K. H. Tung:
The Missing Parts: Augmenting Fact Verification with Half-Truth Detection. - Carlo Alessi, Federico Vasile, Federico Ceola, Giulia Pasquale, Nicoló Boccardo, Lorenzo Natale:
HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning. - Alfie Roddan, Tobias Czempiel, Chi Xu, Daniel S. Elson, Stamatia Giannarou:
SAMSA 2.0: Prompting Segment Anything with Spectral Angles for Hyperspectral Interactive Medical Image Segmentation. - Mohammed Kamran, Maria Bernathova, Raoul Varga, Christian F. Singer, Zsuzsanna Bago-Horvath, Thomas H. Helbich, Georg Langs, Philipp Seeböck:
LesiOnTime - Joint Temporal and Clinical Modeling for Small Breast Lesion Segmentation in Longitudinal DCE-MRI. - Jinghui Zhang, Kaiyang Wan, Longwei Xu, Ao Li, Zongfang Liu, Xiuying Chen:
From Individuals to Crowds: Dual-Level Public Response Prediction in Social Media. - Haoyu Wang, Christopher M. Poskitt, Jun Sun, Jiali Wei:
Pro2Guard: Proactive Runtime Enforcement of LLM Agent Safety via Probabilistic Model Checking. - Jasper Nalbach, Erika Ábrahám:
A Variant of Non-uniform Cylindrical Algebraic Decomposition for Real Quantifier Elimination. - Tulsi Patel, Mark W. Jones, Thomas Redfern:
Leveraging Convolutional and Graph Networks for an Unsupervised Remote Sensing Labelling Tool. - Yiming Xu, Jiarun Chen, Zhen Peng, Zihan Chen, Qika Lin, Lan Ma, Bin Shi, Bo Dong:
Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection. - Panagiotis Diamantakis, Thanassis Avgerinos, Yannis Smaragdakis:
Desyan: A Platform for Seamless Value-Flow and Symbolic Analysis. - Jasper Nalbach, Lucas Michel, Erika Ábrahám, Christopher W. Brown, James H. Davenport, Matthew England, Pierre Mathonet, Naïm Zénaïdi:
Projective Delineability for Single Cell Construction. - Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong:
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. - Juan Antonio Barceló, Carlos Castro, A. Ruiz, Mari Cruz Vilela:
A new addition theorem for the 3-D Navier-Lamé system and its application to the method of fundamental solutions. - Shuo Liang, Yiwu Zhong, Zi-Yuan Hu, Yeyao Tao, Liwei Wang:
Fine-grained Spatiotemporal Grounding on Egocentric Videos. - Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang:
EFlat-LoRA: Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond. - Sifan Yang, Yuanyu Wan, Lijun Zhang:
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting. - George M. Coghill:
Towards a Measure Theory of Semantic Information. - Jinsong Yang, Zeyuan Hu, Yichen Li:
EPANet: Efficient Path Aggregation Network for Underwater Fish Detection. - Mikel Vandeloise:
Towards a unified framework for programming paradigms: A systematic review of classification formalisms and methodological foundations. - Lucius Caviola, Bradford Saad:
Futures with Digital Minds: Expert Forecasts in 2025. - Giulio Zhou, Tsz Kin Lam, Alexandra Birch, Barry Haddow:
The Prosody of Emojis. - Judy X. Yang:
Phase-Locked SNR Band Selection for Weak Mineral Signal Detection in Hyperspectral Imagery. - Hequn Zhang, Qu Luo, Pei Xiao, Yue Zhang, Huiyu Zhou:
Closed-Form BER Analysis for Uplink NOMA with Dynamic SIC Decoding. - Christian Neurohr, Marcel Saager, Lina Putze, Jan-Patrick Osterloh, Karina Rothemann, Hilko Wiards, Eckard Böde, Axel Hahn:
Towards Efficient Certification of Maritime Remote Operation Centers. - Joonas Tapaninaho, Mourad Oussalah:
PaPaformer: Language Model from Pre-trained Parallel Paths. - Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Mateja Jamnik, Giuseppe Marra:
Foundations of Interpretable Models. - Wenchao Gu, Zongyi Lyu, Yanlin Wang, Hongyu Zhang, Cuiyun Gao, Michael R. Lyu:
SPENCER: Self-Adaptive Model Distillation for Efficient Code Retrieval. - Seunghyun Shin, Dongmin Shin, Jisu Shin, Hae-Gon Jeon, Joon-Young Lee:
Video Color Grading via Look-Up Table Generation. - Daniel Wolf, Heiko Hillenhagen, Billurvan Taskin, Alex Bäuerle, Meinrad Beer, Michael Götz, Timo Ropinski:
Your other Left! Vision-Language Models Fail to Identify Relative Positions in Medical Images. - Chihan Huang, Belal Alsinglawi, Islam Al-Qudah:
DBLP: Noise Bridge Consistency Distillation For Efficient And Reliable Adversarial Purification. - Jizhihui Liu, Feiyi Du, Guangdao Zhu, Niu Lian, Jun Li, Bin Chen:
HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models. - Jiecong Wang, Haoran Li, Hao Peng, Ziqian Zeng, Zihao Wang, Haohua Du, Zhengtao Yu:
Activation-Guided Local Editing for Jailbreaking Attacks. - Qi Chen, Lingxiao Yang, Yun Chen, Nailong Zhao, Jianhuang Lai, Jie Shao, Xiaohua Xie:
Training-Free Class Purification for Open-Vocabulary Semantic Segmentation. - Jens U. Kreber, Joerg Stueckler:
Guiding Diffusion-Based Articulated Object Generation by Partial Point Cloud Alignment and Physical Plausibility Constraints. - Angel Durán, Nuria Reguera:
Solitary-wave solutions of the fractional nonlinear Schrödinger equation. II. A numerical study of the dynamics. - Hannah Kniesel, Leon Sick, Tristan Payer, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Timo Ropinski:
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images. - Jingchao Xie, Oussema Dhaouadi, Weirong Chen, Johannes Meier, Jacques Kaiser, Daniel Cremers:
CoProU-VO: Combining Projected Uncertainty for End-to-End Unsupervised Monocular Visual Odometry. - Gyuseok Lee, Yaokun Liu, Yifan Liu, Susik Yoon, Dong Wang, Seongku Kang:
Session-Based Recommendation with Validated and Enriched LLM Intents. - Jianwei Wang, Ziming Wu, Fuming Lai, Shaobing Lian, Ziqian Zeng:
SynAdapt: Learning Adaptive Reasoning in Large Language Models via Synthetic Continuous Chain-of-Thought. - Camille Bourgaux, Anton R. Gnatenko, Michaël Thomazo:
Analysing Temporal Reasoning in Description Logics Using Formal Grammars. - Zhanliang Wang, Kai Wang:
MultiSHAP: A Shapley-Based Framework for Explaining Cross-Modal Interactions in Multimodal AI Models. - Marlen Neubert, Patrick Reiser, Frauke Gräter, Pascal Friederich:
Learning Potential Energy Surfaces of Hydrogen Atom Transfer Reactions in Peptides. - Ziyu Gong, Yihua Huang, Chengcheng Mai:
MMRAG-DocQA: A Multi-Modal Retrieval-Augmented Generation Method for Document Question-Answering with Hierarchical Index and Multi-Granularity Retrieval. - Raúl Castilla-Arquillo, Carlos Jesús Pérez-del-Pulgar, Levin Gerdes, Alfonso García-Cerezo, Miguel A. Olivares-Méndez:
OmniUnet: A Multimodal Network for Unstructured Terrain Segmentation on Planetary Rovers Using RGB, Depth, and Thermal Imagery. - Ruiqing Ding, Qianfang Sun, Yongkang Leng, Hui Yin, Xiaojian Li:
From EMR Data to Clinical Insight: An LLM-Driven Framework for Automated Pre-Consultation Questionnaire Generation. - Yunting Xu, Jiacheng Wang, Ruichen Zhang, Dusit Niyato, Deepu Rajan, Liang Yu, Haibo Zhou, Abbas Jamalipour, Xianbin Wang:
Enhancing Wireless Networks for IoT with Large Vision Models: Foundations and Applications. - Konstantinos Plotas, Emmanouil Papadakis, Drosakis Drosakis, Panos E. Trahanias, Dimitrios Papageorgiou:
A control scheme for collaborative object transportation between a human and a quadruped robot using the MIGHTY suction cup. - Thorben Werner, Lars Schmidt-Thieme, Vijaya Krishna Yalavarthi:
The Role of Active Learning in Modern Machine Learning. - Marc Hölle, Walter Kellermann, Vasileios Belagiannis:
Uncertainty-Aware Likelihood Ratio Estimation for Pixel-Wise Out-of-Distribution Detection. - Stefan Englmeier, Max Büttner, Katharina Winter, Fabian B. Flohr:
Context-based Motion Retrieval using Open Vocabulary Methods for Autonomous Driving. - Yihe Tian, Kwan Man Cheng, Zhengbo Zhang, Tao Zhang, Suju Li, Dongmei Yan, Bing Xu:
A Novel Modeling Framework and Data Product for Extended VIIRS-like Artificial Nighttime Light Image Reconstruction (1986-2024). - Mingrui Liu, Sixiao Zhang, Cheng Long:
Wukong Framework for Not Safe For Work Detection in Text-to-Image systems. - Jiajun Le, Jiayi Ma:
GeoMoE: Divide-and-Conquer Motion Field Modeling with Mixture-of-Experts for Two-View Geometry. - Shuyao Jiang, Jiazhen Gu, Wujie Zheng, Yangfan Zhou, Michael R. Lyu:
Can User Feedback Help Issue Detection? An Empirical Study on a One-billion-user Online Service System. - Xiang Zhang, Zhou Li, Shuangyang Li, Kai Wan, Derrick Wing Kwan Ng, Giuseppe Caire:
Information-Theoretic Decentralized Secure Aggregation with Collusion Resilience. - Junzhe Lu, Jing Lin, Hongkun Dou, Ailing Zeng, Yue Deng, Xian Liu, Zhongang Cai, Lei Yang, Yulun Zhang, Haoqian Wang, Ziwei Liu:
DPoser-X: Diffusion Model as Robust 3D Whole-body Human Pose Prior. - Mingruo Yuan, Shuyi Zhang, Ben Kao:
A Context-Aware Dual-Metric Framework for Confidence Estimation in Large Language Models. - Francesco Panebianco, Stefano Bonfanti, Francesco Trovò, Michele Carminati:
LeakSealer: A Semisupervised Defense for LLMs Against Prompt Injection and Leakage Attacks. - Rajpreet Singh, Vidhi Kothari:
Composable OS Kernel Architectures for Autonomous Intelligence. - Farhana Haque, Md. Abdur Rahman, Sumon Ahmed:
GHTM: A Graph based Hybrid Topic Modeling Approach in Low-Resource Bengali Language. - Mohammad Fahim Shakib, Mira Khalil, Romain Postoyan:
Low-dimensional observer design for stable linear systems by model reduction. - Benedikt Maderbacher, Roderick Bloem:
Parameterized Infinite-State Reactive Synthesis. - Lennart Meincke, Ethan Mollick, Lilach Mollick, Dan Shapiro:
Prompting Science Report 3: I'll pay you or I'll kill you - but will you care? - Mukesh Kumar Sahu, Pinki Roy:
Similarity-Based Self-Construct Graph Model for Predicting Patient Criticalness Using Graph Neural Networks and EHR Data. - Mingzhe Fan, Geng Sun, Hongyang Pan, Jiacheng Wang, Jiancheng An, Hongyang Du, Chau Yuen:
Joint Association and Phase Shifts Design for UAV-mounted Stacked Intelligent Metasurfaces-assisted Communications. - Shantanu Thorat, Andrew Caines:
DACTYL: Diverse Adversarial Corpus of Texts Yielded from Large Language Models. - Quentin Le Roux, Yannick Teglia, Teddy Furon, Philippe Loubet-Moundi:
Backdoor Attacks on Deep Learning Face Detection. - Kapel Dev, Yash Madhwal, Sofia Shevelo, Pavel Osinenko, Yury Yanovich:
SwarnRaft: Leveraging Consensus for Robust Drone Swarm Coordination in GNSS-Degraded Environments. - Bartosz Krawczyk, Ahmed Elbary, Robbie Cato, Jagdish Patil, Kaung Myat, Anyeh Ndi-Tah, Nivetha Sakthivel, Mark Crampton, Gautham Das, Charles Fox:
OpenScout v1.1 mobile robot: a case study on open hardware continuation. - Zhenyu Liu, Yi Ma, Rahim Tafazolli:
Deep Learning-Based Rate-Adaptive CSI Feedback for Wideband XL-MIMO Systems in the Near-Field Domain. - Paul Tresson, Pierre Le Coz, Hadrien Tulet, Anthony Malkassian, Maxime Réjou-Méchain:
IAMAP: Unlocking Deep Learning in QGIS for non-coders and limited computing resources. - Xiong Xiong, Zhuo Zhang, Rongchun Hu, Chen Gao, Zichen Deng:
Separated-Variable Spectral Neural Networks: A Physics-Informed Learning Approach for High-Frequency PDEs. - Francisco Crespo, Javier Villegas, Carlos Baena, Eduardo Baena, Sergio Fortes, Raquel Barco:
Energy-Aware CPU Orchestration in O-RAN: A dApp-Driven Lightweight Approach. - Khaled Ahmed, Jialing Song, Boqi Chen, Ou Wei, Bingzhou Zheng:
MCeT: Behavioral Model Correctness Evaluation using Large Language Models. - Alexia Jolicoeur-Martineau:
Multi-Agent Game Generation and Evaluation via Audio-Visual Recordings. - Changning Wu, Gao Wu, Rongyao Cai, Yong Liu, Kexin Zhang:
KFS: KAN based adaptive Frequency Selection learning architecture for long term time series forecasting. - Haocheng Jiang, Hua Shen, Jixin Zhang, Willy Susilo, Mingwu Zhang:
FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients. - Michal Forystek, Andrew D. Syrmakesis, Alkistis Kontou, Panos Kotsampopoulos, Nikos D. Hatziargyriou, Charalambos Konstantinou:
Cyber-Physical Co-Simulation of Load Frequency Control under Load-Altering Attacks. - Luisa Gallée, Catharina Silvia Lisson, Christoph Gerhard Lisson, Daniela Drees, Felix Weig, Daniel Vogele, Meinrad Beer, Michael Götz:
Minimum Data, Maximum Impact: 20 annotated samples for explainable lung nodule classification. - Alessandro Palmas:
Reinforcement Learning for Decision-Level Interception Prioritization in Drone Swarm Defense. - Albert Matveev, Sanmitra Ghosh, Aamal Hussain, James-Michael Leahy, Michalis Michaelides:
Light-Weight Diffusion Multiplier and Uncertainty Quantification for Fourier Neural Operators. - Dennis Zyska, Ilia Kuznetsov, Florian Müller, Iryna Gurevych:
Pull Requests From The Classroom: Co-Developing Curriculum And Code. - Junhao Zheng, Jiahao Sun, Chenhao Lin, Zhengyu Zhao, Chen Ma, Chong Zhang, Cong Wang, Qian Wang, Chao Shen:
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights. - Shuning Zhang, Han Chen, Yabo Wang, Yiqun Xu, Jiaqi Bai, Yuanyuan Wu, Shixuan Li, Xin Yi, Chunhui Wang, Hewu Li:
The Manipulative Power of Voice Characteristics: Investigating Deceptive Patterns in Mandarin Chinese Female Synthetic Speech. - Lucía Gómez Álvarez, Sebastian Rudolph:
Putting Perspective into OWL [sic]: Complexity-Neutral Standpoint Reasoning for Ontology Languages via Monodic S5 over Counting Two-Variable First-Order Logic (Extended Version with Appendix). - Rodrigo Escobar Díaz Guerrero, Jamile Mohammad Jafari, Tobias Meyer-Zedler, Michael Schmitt, Jürgen Popp, Thomas Bocklitz:
LEO: An Open-Source Platform for Linking OMERO with Lab Notebooks and Heterogeneous Metadata Sources. - Sihang Zeng, Lucas Jing Liu, Jun Wen, Meliha Yetisgen, Ruth Etzioni, Gang Luo:
TrajSurv: Learning Continuous Latent Trajectories from Electronic Health Records for Trustworthy Survival Prediction. - Chakattrai Sookkongwaree, Tattep Lakmuang, Chainarong Amornbunchornvej:
Multi-Band Variable-Lag Granger Causality: A Unified Framework for Causal Time Series Inference across Frequencies. - Xinzhang Chen, Hassan Ali, Arash Shaghaghi, Salil S. Kanhere, Sanjay K. Jha:
Demo: TOSense - What Did You Just Agree to? - Jialun Zheng, Jie Liu, Jiannong Cao, Xiao Wang, Hanchen Yang, Yankai Chen, Philip S. Yu:
DP-DGAD: A Generalist Dynamic Graph Anomaly Detector with Dynamic Prototypes. - Maryam Mosleh, Marie Devlin, Ellis Solaiman:
Transparent Adaptive Learning via Data-Centric Multimodal Explainable AI. - Wenxuan Wang, Zizhan Ma, Meidan Ding, Shiyi Zheng, Shengyuan Liu, Jie Liu, Jiaming Ji, Wenting Chen, Xiang Li, Linlin Shen, Yixuan Yuan:
Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications. - Farhan Farsi, Farnaz Aghababaloo, Shahriar Shariati Motlagh, Parsa Ghofrani, MohammadAli SadraeiJavaheri, Shayan Bali, Amirhossein Shabani, Farbod Bijary, Ghazal Zamaninejad, Amirmohammad Salehoof, Saeedeh Momtazi:
MELAC: Massive Evaluation of Large Language Models with Alignment of Culture in Persian Language. - Banan Alkhateeb, Ellis Solaiman:
Context-Aware Visualization for Explainable AI Recommendations in Social Media: A Vision for User-Aligned Explanations. - Gleb Schmidt, Johannes Römisch, Mariia Halchynska, Svetlana Gorovaia, Ivan P. Yamshchikov:
Team "better_call_claude": Style Change Detection using a Sequential Sentence Pair Classifier. - Shubham Kumar Nigam, Tanmay Dubey, Noel Shallum, Arnab Bhattacharya:
Segment First, Retrieve Better: Realistic Legal Search via Rhetorical Role-Based Queries. - Johannes Römisch, Svetlana Gorovaia, Mariia Halchynska, Gleb Schmidt, Ivan P. Yamshchikov:
Better Call Claude: Can LLMs Detect Changes of Writing Style? - Oscar Llorente-Vazquez, Xabier Ugarte-Pedrero, Igor Santos-Grueiro, Pablo García Bringas:
Unveiling Dynamic Binary Instrumentation Techniques. - Ruiyang Huang, Haocheng Wang, Yixuan Shen, Ning Gao, Qiang Ni, Shi Jin, Yifan Wu:
Criticality-Based Dynamic Topology Optimization for Enhancing Aerial-Marine Swarm Resilience. - Fabian Clemens Weigend, Dabin Kim Choe, Santiago Canete, Conor J. Walsh:
Towards Data-Driven Adaptive Exoskeleton Assistance for Post-stroke Gait. - Young-Ho Cho, Hao Zhu, Duehee Lee, Ross Baldick:
Wind Power Scenario Generation based on the Generalized Dynamic Factor Model and Generative Adversarial Network. - Sergio Rubio-Martín, María Teresa García-Ordás, Antonio Serrano-García, Clara Margarita Franch-Pato, Arturo Crespo-Álvaro, José Alberto Benítez-Andrades:
Classification of Psychiatry Clinical Notes by Diagnosis: A Deep Learning and Machine Learning Approach. - Yiming Wu, Huan Wang, Zhenghao Chen, Jianxin Pang, Dong Xu:
On-Device Diffusion Transformer Policy for Efficient Robot Manipulation. - Hongfei Zhang, Kun Zhou, Ruizheng Wu, Jiangbo Lu:
Can Large Pretrained Depth Estimation Models Help With Image Dehazing? - Alfred Santa Molison, Marcia Moraes, Glaucia Melo, Fabio Santos, Wesley K. G. Assunção:
Is LLM-Generated Code More Maintainable & Reliable than Human-Written Code? - Chende Zheng, Ruiqi Suo, Chenhao Lin, Zhengyu Zhao, Le Yang, Shuai Liu, Minghui Yang, Cong Wang, Chao Shen:
D3: Training-Free AI-Generated Video Detection Using Second-Order Features. - Haozhe Tian, Pietro Ferraro, Robert Shorten, Mahdi Jalili, Homayoun Hamedmoghadam:
Learning Network Dismantling without Handcrafted Inputs. - Yannik Schnitzer, Alessandro Abate, David Parker:
Efficient Solution and Learning of Robust Factored MDPs. - Shubham Kumar Nigam, Balaramamahanthi Deepak Patnaik, Shivam Mishra, Ajay Varghese Thomas, Noel Shallum, Kripabandhu Ghosh, Arnab Bhattacharya:
NyayaRAG: Realistic Legal Judgment Prediction with RAG under the Indian Common Law System. - Ngozichukwuka Onah, Nadine Steinmetz, Hani Al-Sayeh, Kai-Uwe Sattler:
Experimental Evaluation of Dynamic Topic Modeling Algorithms. - Dien Nguyen, Diego Perez Liebana, Simon M. Lucas:
JSON-Bag: A generic game trajectory representation. - Olga Kondrateva, Grace Li Zhang, Julian Zobel, Björn Scheuermann, Stefan Dietzel:
Deep Joint Source-Channel Coding for Small Satellite Applications. - Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin:
Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning. - Ivona Krchova, Mariana Vargas Vieyra, Mario Scriminaci, Andrey Sidorenko:
Democratizing Tabular Data Access with an Open-Source Synthetic-Data SDK. - Yingxu Wang, Shiqi Fan, Mengzhu Wang, Siyang Gao, Siwei Liu, Nan Yin:
Dynamically Adaptive Reasoning via LLM-Guided MCTS for Efficient and Context-Aware KGQA. - Jonas Schulze, Jens Saak:
Towards a mixed-precision ADI method for Lyapunov equations. - Rebecca Yu, Valerie Chen, Ameet Talwalkar, Hoda Heidari:
Why Do Decision Makers (Not) Use AI? A Cross-Domain Analysis of Factors Impacting AI Adoption. - Boyu Li, Zhengchen Li, Weimin Wu, Mengchu Zhou:
Petri Net Modeling and Deadlock-Free Scheduling of Attachable Heterogeneous AGV Systems. - Jiale Li, Mingrui Wu, Zixiang Jin, Hao Chen, Jiayi Ji, Xiaoshuai Sun, Liujuan Cao, Rongrong Ji:
MIHBench: Benchmarking and Mitigating Multi-Image Hallucinations in Multimodal Large Language Models. - Guanning Zeng, Xiang Zhang, Zirui Wang, Haiyang Xu, Zeyuan Chen, Bingnan Li, Zhuowen Tu:
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation. - Le Wang, Jun Wang, Chunyu Qiang, Feng Deng, Chen Zhang, Di Zhang, Kun Gai:
AudioGen-Omni: A Unified Multimodal Diffusion Transformer for Video-Synchronized Audio, Speech, and Song Generation. - Liuyun Xu, Seymour M. J. Spence:
Adaptive Machine Learning-Driven Multi-Fidelity Stratified Sampling for Failure Analysis of Nonlinear Stochastic Systems. - Lucas Aubard, Johan Mazel, Gilles Guette, Pierre Chifflier:
Overlapping IPv4, IPv6, and TCP data: exploring errors, test case context and multiple overlaps inside network stacks and NIDSes with PYROLYSE. - Süeda Özkaya, Santiago Berrezueta-Guzman, Stefan Wagner:
How LLMs are Shaping the Future of Virtual Reality. - Bernhard Rumpe, Max Stachon, Sebastian Stüber, Valdes Voufo:
Tool-Assisted Conformance Checking to Reference Process Models. - Sohaib Imran, Rob Lamb, Peter M. Atkinson:
Out-of-Context Abduction: LLMs Make Inferences About Procedural Data Leveraging Declarative Facts in Earlier Training Data. - Sarah Jane Mercer, Daniel P. Martin, Phil Swatton:
Applying Psychometrics to Large Language Model Simulated Populations: Recreating the HEXACO Personality Inventory Experiment with Generative Agents. - Sebastian Wind, Jeta Sopa, Daniel Truhn, Mahshad Lotfinia, Tri-Thien Nguyen, Keno K. Bressem, Lisa Adams, Mirabela Rusu, Harald Köstler, Gerhard Wellein, Andreas K. Maier, Soroosh Tayebi Arasteh:
Agentic large language models improve retrieval-based radiology question answering. - Adwait Chandorkar, Hasan Tercan, Tobias Meisen:
Rethinking Backbone Design for Lightweight 3D Object Detection in LiDAR. - Regine Hartwig, Dominik Muhle, Riccardo Marin, Daniel Cremers:
GECO: Geometrically Consistent Embedding with Lightspeed Inference. - Laura Pedrouzo-Rodriguez, Pedro Delgado-DeRobles, Luis Felipe Gomez-Gomez, Ruben Tolosana, Rubén Vera-Rodríguez, Aythami Morales, Julian Fierrez:
Is It Really You? Exploring Biometric Verification Scenarios in Photorealistic Talking-Head Avatar Videos. - Johanna Grahl, Bernhard Rumpe, Max Stachon, Sebastian Stüber:
Dynamic Symbolic Execution for Semantic Difference Analysis of Component and Connector Architectures. - Prerana Ramkumar:
SU-ESRGAN: Semantic and Uncertainty-Aware ESRGAN for Super-Resolution of Satellite and Drone Imagery with Fine-Tuning for Cross Domain Evaluation. - Qing Zhang, Alex Deng, Michelle Du, Huiji Gao, Liwei He, Sanjeev Katariya:
Harnessing the Power of Interleaving and Counterfactual Evaluation for Airbnb Search Ranking. - Yaxin Ma, Benjamin Colburn, José C. Príncipe:
A Simple and Effective Method for Uncertainty Quantification and OOD Detection. - Yunhao Chen, Shujie Wang, Xin Wang, Xingjun Ma:
LeakyCLIP: Extracting Training Data from CLIP. - Robin Armingaud, Romaric Besançon:
GLiDRE: Generalist Lightweight model for Document-level Relation Extraction. - Timur Sattarov, Marco Schreyer, Damian Borth:
Diffusion-Scheduled Denoising Autoencoders for Anomaly Detection in Tabular Data. - Qiyao Xue, Yuchen Dou, Ryan Shi, Xiang Lorraine Li, Wei Gao:
MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection under Cloaking Perturbations. - Atakan Site, Emre Hakan Erdemir, Gülsen Eryigit:
ITUNLP at SemEval-2025 Task 8: Question-Answering over Tabular Data: A Zero-Shot Approach using LLM-Driven Code Generation. - Irene Iele, Francesco Di Feola, Valerio Guarrasi, Paolo Soda:
Sample-Aware Test-Time Adaptation for Medical Image-to-Image Translation. - Antonio Tudisco, Andrea Marchesin, Maurizio Zamboni, Mariagrazia Graziano, Giovanna Turvani:
Evaluating Angle and Amplitude Encoding Strategies for Variational Quantum Machine Learning: their impact on model's accuracy. - Md Imranur Rahman Akib, Fathima Binthe Muhammed, Umit Saha, Md Fazlul Karim Patwary, Mehrin Anannya, Md Alomgeer Hussein, Md. Biplob Hosen:
From Code to Career: Assessing Competitive Programmers for Industry Placement. - Jiankai Tang, Meng Kang, Yiru Zhang, Kegang Wang, Daniel McDuff, Xin Liu, Yuanchun Shi, Yuntao Wang:
Contact Sensors to Remote Cameras: Quantifying Cardiorespiratory Coupling in High-Altitude Exercise Recovery. - Andrea Martin, Ian R. Manchester, Luca Furieri:
Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms. - Dieter van Melkebeek:
From Dynamic Programs to Greedy Algorithms. - Zihan Wang, Samira Ebrahimi Kahou, Narges Armanfard:
Zero-Shot Anomaly Detection with Dual-Branch Prompt Selection. - Jiankai Tang, Zhe He, Mingyu Zhang, Wei Geng, Chengchi Zhou, Weinan Shi, Yuanchun Shi, Yuntao Wang:
τ-Ring: A Smart Ring Platform for Multimodal Physiological and Behavioral Sensing. - Kien T. Pham, Yingqing He, Yazhou Xing, Qifeng Chen, Long Chen:
SpA2V: Harnessing Spatial Auditory Cues for Audio-driven Spatially-aware Video Generation. - Tom Or, Omri Azencot:
Unraveling Hidden Representations: A Multi-Modal Layer Analysis for Better Synthetic Content Forensics. - Bushra Akter, Md. Biplob Hosen, Sabbir Ahmed, Mehrin Anannya, Md. Farhad Hossain:
Explainable AI and Machine Learning for Exam-based Student Evaluation: Causal and Predictive Analysis of Socio-academic and Economic Factors. - Xushuo Tang, Yi Ding, Zhengyi Yang, Yin Chen, Yongrui Gu, Wenke Yang, Mingchen Ju, Xin Cao, Yongfei Liu, Wenjie Zhang:
Do They Understand Them? An Updated Evaluation on Nonbinary Pronoun Handling in Large Language Models. - Aashay Arora, Diego Davila, Jonathan Guiang, Frank Würthwein, Harvey B. Newman, Justas Balcas, Tom Lehman, Xi Yang:
Data Movement Manager (DMM) for the SENSE-Rucio Interoperation Prototype. - Junbang Liang, Pavel Tokmakov, Ruoshi Liu, Sruthi Sudhakar, Paarth Shah, Rares Ambrus, Carl Vondrick:
Video Generators are Robot Policies. - Julian Lemmel, Manuel Kranzl, Adam Lamine, Philipp Neubauer, Radu Grosu, Sophie A. Neubauer:
Online Fine-Tuning of Carbon Emission Predictions using Real-Time Recurrent Learning for State Space Models. - Ping Chen, Zhuohong Deng, Ping Li, Shuibing He, Hongzi Zhu, Yi Zheng, Zhefeng Wang, Baoxing Huai, Minyi Guo:
Adacc: An Adaptive Framework Unifying Compression and Activation Recomputation for LLM Training. - Matthew M. Casey, Edith Elkind:
Justified Representation: From Hare to Droop. - Jinsong Li, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jiaqi Wang, Dahua Lin:
Beyond Fixed: Training-Free Variable-Length Denoising for Diffusion Large Language Models. - Alexander Nikitas Dimopoulos, Joseph Grasso:
Cross-Dataset Semantic Segmentation Performance Analysis: Unifying NIST Point Cloud City Datasets for 3D Deep Learning. - Wenxuan Guo, Xiuwei Xu, Hang Yin, Ziwei Wang, Jianjiang Feng, Jie Zhou, Jiwen Lu:
IGL-Nav: Incremental 3D Gaussian Localization for Image-goal Navigation. - L.-F. Pau:
Towards a quantum synapse for quantum sensing. - Allison Doami, Christine James, Dan Lu, Lia Prins, Annette Torrence, Boris Veytsman:
Use of LLMs in preparing accessible scientific papers. - Hudson de Martim:
A Foundational Schema.org Mapping for a Legal Knowledge Graph: Representing Brazilian Legal Norms as FRBR Works. - Antoine Bigeard, Langston Nashold, Rayan Krishnan, Shirley Wu:
Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks. - Abdelghani Maddi, Ahmad Yaman Abdin, Francesco De Pretis:
Open Science, Open Innovation? The Role of Open Access in Patenting Activity. - Lyle Regenwetter, Yazan Abu Obaideh, Fabien Chiotti, Ioanna Lykourentzou, Faez Ahmed:
Bike-Bench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints. - Florian Felten, Gabriel Apaza, Gerhard Bräunlich, Cashen Diniz, Xuliang Dong, Arthur Drake, Milad Habibi, Nathaniel J. Hoffman, Matthew Keeler, Soheyl Massoudi, Francis G. VanGessel, Mark D. Fuge:
EngiBench: A Framework for Data-Driven Engineering Design Research. - Arimondo Scrivano:
A Comparative Study of Classical and Post-Quantum Cryptographic Algorithms in the Era of Quantum Computing. - Andrea Gayon-Lombardo, Ehecatl Antonio del Rio-Chanona, Catalina A. Pino-Munoz, Nigel P. Brandon:
Deep Kernel Bayesian Optimisation for Closed-Loop Electrode Microstructure Design with User-Defined Properties based on GANs. - Wei Wu, Wenjie Wang, Yang Tan, Ying Liu, Liang Diao, Lin Huang, Kaihe Xu, Wenfeng Xie, Ziling Lin:
Team PA-VCG's Solution for Competition on Understanding Chinese College Entrance Exam Papers in ICDAR'25. - Zachary T. Rewolinski, Bin Yu:
PCS Workflow for Veridical Data Science in the Age of AI. - Bruno M. Saraiva, Guillaume Jaquemet, Ricardo Henriques:
Rxiv-Maker: an automated template engine for streamlined scientific publications. - Yuqi Zhang, Yuxin Yang, Cheng-Chang Lu, Weiwen Jiang, Feixiong Cheng, Bo Fang, Qiang Guan:
QDockBank: A Dataset for Ligand Docking on Protein Fragments Predicted on Utility-Level Quantum Computers. - Ilan Strauss, Jangho Yang, Tim O'Reilly, Sruly Rosenblat, Isobel Moure:
The Attribution Crisis in LLM Search Results. - Ruopengyu Xu, Chenglian Liu:
Quantum-Resistant RSA Modulus Decomposition via Adaptive Rényi Entropy Optimization. - Ali Haitham Abdul Amir, Zainab N. Nemer:
Inclusive Review on Advances in Masked Human Face Recognition Technologies. - Wei Meng:
Algorithmic Evaluation and the Marginalization of Single Authorship in Management Science. - Sumit Kumar, Sarthak Kapoor, Harsh Vardhan, Yao Zhao:
Generative AI for CAD Automation: Leveraging Large Language Models for 3D Modelling. - Christopher Wissuchek, Patrick Zschech:
Exploring Agentic Artificial Intelligence Systems: Towards a Typological Framework. - Songlin Xu, Xinyu Zhang:
Cognitive Exoskeleton: Augmenting Human Cognition with an AI-Mediated Intelligent Visual Feedback. - Sofia Sahab, Jawad Ahmad Haqbeen, Diksha Sapkota, Takayuki Ito:
GPT Chatbots for Alleviating Anxiety and Depression: A Pilot Randomized Controlled Trial with Afghan Women. - Agniva Banerjee, Bhanu Partap Paregi, Haroon R. Lone:
RestAware: Non-Invasive Sleep Monitoring Using FMCW Radar and AI-Generated Summaries. - Juan Palomeque-Gonzalez:
A Modular, Low-Cost IoT System for Environmental and Behavioural Monitoring in Cultural Heritage Sites. - Nadja R. Ging-Jehli, Russell K. Childers, Joshua Lu, Robert Gemma, Rachel Zhu:
Gearshift Fellowship: A Next-Generation Neurocomputational Game Platform to Model and Train Human-AI Adaptability. - Abdurrahman Tolay:
eBPF-Based Real-Time DDoS Mitigation for IoT Edge Devices. - Yuemin Mao, Uksang Yoo, Yunchao Yao, Shahram Najam Syed, Luca Bondi, Jonathan Francis, Jean Oh, Jeffrey Ichnowski:
Visuo-Acoustic Hand Pose and Contact Estimation. - Kei Itoh:
A Formal Framework for the Definition of 'State': Hierarchical Representation and Meta-Universe Interpretation. - Ziyang Zhang, Feifan Zhang, Weidong Tang, Lei Shi, Tailai Chen:
A Residual Guided strategy with Generative Adversarial Networks in training Physics-Informed Transformer Networks. - Steph Grohmann:
EthicAlly: a Prototype for AI-Powered Research Ethics Support for the Social Sciences and Humanities. - Vrinceanu Alin Vladut:
UrbanScore: A Real-Time Personalised Liveability Analytics Platform. - Christina Butsko, Kristof Van Tricht, Gabriel Tseng, Giorgia Milli, David Rolnick, Ruben Cartuyvels, Inbal Becker-Reshef, Zoltan Szantoi, Hannah Kerner:
Deploying Geospatial Foundation Models in the Real World: Lessons from WorldCereal. - Martin J. O'Connor, Marcos Martínez Romero, Attila L. Egyedi, Mete Ugur Akdogan, Michael Dorf, Mark A. Musen:
Author Once, Publish Everywhere: Portable Metadata Authoring with the CEDAR Embeddable Editor. - Yuexiong Ding, Qiong Liu, Ankang Ji, Xiaowei Luo, Wen Yi, Albert P. C. Chan:
A survey on proximity monitoring and warning in construction. - Margarita Bugueño, Gerard de Melo:
Rethinking Graph-Based Document Classification: Learning Data-Driven Structures Beyond Heuristic Approaches. - Kwok Leong Tang, Yi Jiang:
Better Recommendations: Validating AI-generated Subject Terms Through LOC Linked Data Service. - Jian Du:
Toward Responsible And Beneficial Ai: Comparing Regulatory And Guidance-Based Approaches. - Dmitriy Kashitsyn, Dmitriy Shabanov:
Discrete approach to machine learning. - M. S. Rajeevan, B. Mini Devi:
Patents as Knowledge Artifacts: An Information Science Perspective on Global Innovation. - Minghan Li, Congcong Wen, Yu Tian, Min Shi, Yan Luo, Hao Huang, Yi Fang, Mengyu Wang:
FairFedMed: Benchmarking Group Fairness in Federated Medical Imaging with FairLoRA. - Luqman Muhammad Zagi:
Implementasi dan Pengujian Polimorfisme pada Malware Menggunakan Dasar Payload Metasploit Framework. - Patricia Paskov, Michael J. Byun, Kevin L. Wei, Toby Webster:
Preliminary suggestions for rigorous GPAI model evaluations. - Bakhtiyar Mammadli, Casim Yazici, Muhammed Gürbüz, Irfan Kocaman, F. Javier Domínguez-Gutiérrez, Fatih Mehmet Özkal:
A Data-Driven Machine Learning Approach for Predicting Axial Load Capacity in Steel Storage Rack Columns. - Chao Yan, Babak Mafakheri:
Satellite Connectivity Prediction for Fast-Moving Platforms. - Aven-Le Zhou:
A Relational (Re)Turn: Revisit Interactive Art through Interaction and Aesthetics. - Moutaz Bellah Bentrad, Adel Ghoggal, Tahar Bahi, Abderaouf Bahi:
GNN-ASE: Graph-Based Anomaly Detection and Severity Estimation in Three-Phase Induction Machines. - Adil Mukhtar, Michael Hadwiger, Franz Wotawa, Gerald Schweiger:
Reproducibility of Machine Learning-Based Fault Detection and Diagnosis for HVAC Systems in Buildings: An Empirical Study. - Vijja Wichitwechkarn, Charles Fox, Ruchi Choudhary:
Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models. - Nicholas Fidalgo, Puyuan Ye:
Learned LSM-trees: Two Approaches Using Learned Bloom Filters. - Lucy Temple, Gabriela Viale Pereira, Laura Kaltenbrunner, Lukas Daniel Klausner:
Small Towns, Big Questions: Methodological Insights into Use Case Selection for Digital Twins in Small Towns. - Zhenan Lin, Yuni Lai, Wai Lun Lo, Richard Tai Chiu Hsung, Harris Sik-Ho Tsang, Xiaoyu Xue, Kai Zhou, Yulin Zhu:
Multi-Grained Temporal-Spatial Graph Learning for Stable Traffic Flow Forecasting. - Etienne Bührle, Christoph Stiller:
Stochastic Optimal Control via Measure Relaxations. - Binrui Shen, Yuan Liang, Shengxin Zhu:
FRAM: Frobenius-Regularized Assignment Matching with Mixed-Precision Computing. - Amir Hossein Kalantari, Eleonora Papadimitriou, Amir Pooyan Afghari:
How Much is Too Much? Learning Personalised Risk Thresholds in Real-World Driving. - Hagyeong Shin, Binoy Robin Dalal, Iwona Bialynicka-Birula, Navjot Matharu, Ryan Muir, Xingwei Yang, Samuel W. K. Wong:
FECT: Factuality Evaluation of Interpretive AI-Generated Claims in Contact Center Conversation Transcripts. - Fali Wang, Hui Liu, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Zongyu Wu, Chen Luo, Zheng Li, Xianfeng Tang, Qi He, Suhang Wang:
AgentTTS: Large Language Model Agent for Test-time Compute-optimal Scaling Strategy in Complex Tasks. - Zhihao Zhu, Jiale Han, Yi Yang:
HoneyImage: Verifiable, Harmless, and Stealthy Dataset Ownership Verification for Image Models. - Luiz Emilio Allem, Konstantin Avrachenkov, Carlos Hoppen, Hariprasad Manjunath, Lucas Siviero Sibemberg:
Multi-Community Spectral Clustering for Geometric Graphs. - Tsuyoshi Idé, Kohei Miyaguchi:
Cross-Process Defect Attribution using Potential Loss Analysis. - Hoang Hai Nam Nguyen, Minh Tien Tran, Hoheok Kim, Ho Won Lee:
Phase-fraction guided denoising diffusion model for augmenting multiphase steel microstructure segmentation via micrograph image-mask pair synthesis. - Julien Simon de Kergunic, Rony Abecidan, Patrick Bas, Vincent Itier:
Maximize margins for robust splicing detection. - Jose M. Sánchez Velázquez, Mingbo Cai, Andrew Coney, Álvaro J. García-Tejedor, Alberto Nogales:
Benefits of Feature Extraction and Temporal Sequence Analysis for Video Frame Prediction: An Evaluation of Hybrid Deep Learning Models. - Abeer Dyoub, Ivan Letteri, Francesca A. Lisi:
ff4ERA: A new Fuzzy Framework for Ethical Risk Assessment in AI. - Taha Samavati, Mohsen Soryani, Sina Mansouri:
Sparse 3D Perception for Rose Harvesting Robots: A Two-Stage Approach Bridging Simulation and Real-World Applications. - Ruichen Xu, Kexin Chen:
Filtering with Self-Attention and Storing with MLP: One-Layer Transformers Can Provably Acquire and Extract Knowledge. - Kenneth Payne:
An analysis of AI Decision under Risk: Prospect theory emerges in Large Language Models. - Advey Nandan, Cheng-Ting Chou, Amrit Kurakula, Cole Blondin, Kevin Zhu, Vasu Sharma, Sean O'Brien:
Universal Neurons in GPT-2: Emergence, Persistence, and Functional Impact. - Rajeev Patwari, Ashish Sirasao, Devleena Das:
Forecasting LLM Inference Performance via Hardware-Agnostic Analytical Modeling. - Krishan Kumar Gola, Shaunak Sen:
A Kalman Filter Algorithm with Process Noise Covariance Update. - Subaveerapandiyan A, Pragya Lohia, Dattatraya Kalbande, Naved Ahmad, Kailash Chand Sharma:
Exploring the Role of Gamification in Enhancing Academic Library Services: A Survey of Library Leaders in India. - Mesut Kaya, Toine Bogers:
Mapping Stakeholder Needs to Multi-Sided Fairness in Candidate Recommendation for Algorithmic Hiring. - Aitor Sánchez-Ferrera, Usue Mori, Borja Calvo, José Antonio Lozano:
NeuCoReClass AD: Redefining Self-Supervised Time Series Anomaly Detection. - Terry Yue Zhuo, Dingmin Wang, Hantian Ding, Varun Kumar, Zijian Wang:
Cyber-Zero: Training Cybersecurity Agents without Runtime. - Boris Ruf, Marcin Detyniecki:
Mitigating the Carbon Footprint of Chatbots as Consumers. - Ziyao Wang, Guoheng Sun, Yexiao He, Zheyu Shen, Bowei Tian, Ang Li:
Predictive Auditing of Hidden Tokens in LLM APIs via Reasoning Length Estimation. - Mohammad Mohammadi, Ziyi Wu, Igor Gilitschenski:
TESPEC: Temporally-Enhanced Self-Supervised Pretraining for Event Cameras. - Dominic Simon, Rickard Ewetz:
Knowledge Editing for Multi-Hop Question Answering Using Semantic Analysis. - Himanshu Tripathi, Subash Neupane, Shahram Rahimi, Noorbakhsh Amiri Golilarz, Sudip Mittal, Mohammad Sepehrifar:
Estimating Reliability of Electric Vehicle Charging Ecosystem using the Principle of Maximum Entropy. - Jiayuan Wang, Farhad Pourpanah, Q. M. Jonathan Wu, Ning Zhang:
A Survey on Deep Multi-Task Learning in Connected Autonomous Vehicles. - Ling Liao, Eva Aagaard:
Translating Machine Learning Interpretability into Clinical Insights for ICU Mortality Prediction. - Khaled Eskaf:
SmartDate: AI-Driven Precision Sorting and Quality Control in Date Fruits. - Jinsoo Bae, Seoung Bum Kim, Hyungrok Do:
CaliMatch: Adaptive Calibration for Improving Safe Semi-supervised Learning. - Jiazhen Pan, Bailiang Jian, Paul Hager, Yundi Zhang, Che Liu, Friederike Jungmann, Hongwei Bran Li, Chenyu You, Junde Wu, Jiayuan Zhu, Fenglin Liu, Yuyuan Liu, Niklas Bubeck, Christian Wachinger, Chen Chen, Zhenyu Gong, Cheng Ouyang, Georgios Kaissis, Benedikt Wiestler, Daniel Rueckert:
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models. - Ernesto Luis Estevanell-Valladares, Suilan Estevez-Velarde, Yoan Gutiérrez, Andrés Montoyo, Ruslan Mitkov:
XAutoLM: Efficient Fine-Tuning of Language Models via Meta-Learning and AutoML. - Mubaraq Yakubu, Udunna Anazodo, Maruf Adewole, Theodore Barfoot, Tiarna Lee, Tom Vercauteren, Jonathan Shapey, Andrew P. King, Alexander Hammers:
Themed Challenges to Solve Data Scarcity in Africa: A Proposition for Increasing Local Data Collection and Integration. - Feng Xu, Hui Wang, Yuting Huang, Danwei Zhang, Zizhu Fan:
Hybrid Hypergraph Networks for Multimodal Sequence Data Classification. - Shaozhen Ma, Hanchen Wang, Dong Wen, Wenjie Zhang, Wei Huang, Ying Zhang:
WOCD: A Semi-Supervised Method for Overlapping Community Detection Using Weak Cliques. - Chrysovalanto Messiou, Riender Happee, Georgios Papaioannou:
Modeling Head-Neck Dynamics under Lateral Perturbations Using MPC to Mimic CNS postural stabilization strategy. - Shumeng Zhang, Raul Masu, Mela Bettega, Mingming Fan:
Accessibility and Social Inclusivity: A Literature Review of Music Technology for Blind and Low Vision People. - Marlis Ontivero-Ortega, Alessandro Fania, Antonio Lacalamita, Roberto Bellotti, Alfonso Monaco, Sebastiano Stramaglia:
Cooperative effects in feature importance of individual patterns: application to air pollutants and Alzheimer disease. - Cristian López, Jackson E. Herzlieb, Keegan J. Moore:
System Identification via Validation and Adaptation for Model Updating Applied to a Nonlinear Cantilever Beam. - Aris Richardson, Haley Yi, Michelle Nie, Simon Wisdom, Casey Price, Ruben Weijers, Steven Veld, Mauricio Baker:
How Sovereign Is Sovereign Compute? A Review of 775 Non-U.S. Data Centers. - Hanchen Yang, Jiaqi Wang, Jiannong Cao, Wengen Li, Jialun Zheng, Yangning Li, Chunyu Miao, Jihong Guan, Shuigeng Zhou, Philip S. Yu:
OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction. - Syon Balakrishnan, Aaron Grinberg:
How Cybersecurity Behaviors affect the Success of Darknet Drug Vendors: A Quantitative Analysis. - Aaron Xuxiang Tian, Ruofan Zhang, Janet Tang, Jiaxin Wen:
Measuring Harmfulness of Computer-Using Agents. - Md Doulotuzzaman Xames, Taylan G. Topcu:
Stakeholder Perspectives on Digital Twin Implementation Challenges in Healthcare: Insights from a Provider Digital Twin Case Study. - Ziye Jia, Sijie He, Qiuming Zhu, Wei Wang, Qi-Hui Wu, Zhu Han:
Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning. - Haodong Huang, Shilong Sun, Yuanpeng Wang, Chiyao Li, Hailin Huang, Wenfu Xu:
BarlowWalk: Self-supervised Representation Learning for Legged Robot Terrain-adaptive Locomotion. - Hassan Ugail, Hamad Mansour Alawar, Abdulnasser Abbas Zehi, Ahmed Mohammad Alkendi, Ismail Lujain Jaleel:
Latent Diffusion Based Face Enhancement under Degraded Conditions for Forensic Face Recognition. - Martin Lafréchoux:
Practical Retrofitting for Obsolete Devices - Bridging the gap with old tech to create alternative interaction paradigms and workflows. - Chloe Li, Mary Phuong, Noah Y. Siegel:
LLMs Can Covertly Sandbag on Capability Evaluations Against Chain-of-Thought Monitoring. - Yifan Wang, Hongfeng Ai, Quangao Liu, Maowei Jiang, Ruiyuan Kang, Ruiqi Li, Jiahua Dong, Mengting Xiao, Cheng Jiang, Chenzhong Li:
Optimizing Vision-Language Consistency via Cross-Layer Regional Attention Alignment. - Shiyao Sang, Yinggang Ling:
Service Discovery-Based Hybrid Network Middleware for Efficient Communication in Distributed Robotic Systems. - Ying Zhang, Niklas Gröne, Karsten Klein, Giuseppe Liotta, Falk Schreiber:
Investigating Crossing Perception in 3D Graph Visualisation. - Matthew G. Crowson, Leo Celi A. Celi:
Academic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource Constraint. - Andy Hu, Devika Prasad, Luiz Pizzato, Nicholas Foord, Arman Abrahamyan, Anna Leontjeva, Cooper Doyle, Dan Jermyn:
FeatureCuts: Feature Selection for Large Data by Optimizing the Cutoff. - Yeong-Joon Ju, Seong-Whan Lee:
From Generator to Embedder: Harnessing Innate Abilities of Multimodal LLMs via Building Zero-Shot Discriminative Embedding Model. - Chuan He, Yang Chen, Wuliang Huang, Tianyi Zheng, Jianhu Chen, Bin Dou, Yice Luo, Yun Zhu, Baokun Wang, Yongchao Liu, Xing Fu, Yu Cheng, Chuntao Hong, Weiqiang Wang, Xin-Wei Yao:
Learning Unified User Quantized Tokenizers for User Representation. - Amrit Rajeev, Udayaadithya Avadhanam, Harshula Tulapurkar, SaiBarath Sundar:
Small sample-based adaptive text classification through iterative and contrastive description refinement. - Rubén Muñoz-Sierra, Manuel Doblaré, Jacobo Ayensa-Jiménez:
Enhancing material behavior discovery using embedding-oriented Physically-Guided Neural Networks with Internal Variables. - Sudip K. Seal, Maksudul Alam, Jorge Ramirez, Sajal Dash, Hao Lu:
Compression-Induced Communication-Efficient Large Model Training and Inferencing. - Xiang Li, Penglei Sun, Wanyun Zhou, Zikai Wei, Yongqi Zhang, Xiaowen Chu:
FinKario: Event-Enhanced Automated Construction of Financial Knowledge Graph. - Timothy Oladunni, Alex Wong:
Rethinking Multimodality: Optimizing Multimodal Deep Learning for Biomedical Signal Classification. - Roie Kazoom, Ofir Cohen, Rami Puzis, Asaf Shabtai, Ofer Hadar:
VAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI. - Michelle Lozada-Urbano, Delsi Mariela Huaita Acha, Rosa Maria Benavente Ayquipa, Freddy Felipe Luza Castillo, Rosse Mary Falcón-Antenucci:
Value of the Teaching Career and Factors in Its Path in Peru. - Massoud Pourmandi:
Cooperative Perception: A Resource-Efficient Framework for Multi-Drone 3D Scene Reconstruction Using Federated Diffusion and NeRF. - Lucas Robinet, Ahmad Berjaoui, Elizabeth Moyal Cohen-Jonathan:
Masked Omics Modeling for Multimodal Representation Learning across Histopathology and Molecular Profiles. - Ning Yu, Jie Zhang, Sandeep Mitra, Rebecca Smith, Adam Rich:
AI-Educational Development Loop (AI-EDL): A Conceptual Framework to Bridge AI Capabilities with Classical Educational Theories. - Azmine Toushik Wasi, Enjamamul Haque Eram, Sabrina Afroz Mitu, Md. Manjurul Ahsan:
Generative AI as a Geopolitical Factor in Industry 5.0: Sovereignty, Access, and Control. - Daniel Andrés López, Vincent Weber, Severin Zentgraf, Barlo Hillen, Perikles Simon, Elmar Schömer:
ThermoCycleNet: Stereo-based Thermogram Labeling for Model Transition to Cycling. - Lynnette Hui Xian Ng, Divyaansh Sinha, Kathleen M. Carley:
Star Network Motifs on X during COVID-19. - Lynnette Hui Xian Ng, Kathleen M. Carley:
Are LLM-Powered Social Media Bots Realistic? - Agrim Bari, Parikshit Hegde, Gustavo de Veciana:
Optimal Scheduling Algorithms for LLM Inference: Theory and Practice. - Isabel Pedersen:
Generative AI Adoption in Postsecondary Education, AI Hype, and ChatGPT's Launch. - Yiqun Chen, Erhan Zhang, Lingyong Yan, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Jiaxin Mao:
MAO-ARAG: Multi-Agent Orchestration for Adaptive Retrieval-Augmented Generation. - Farah Adeeba, Brian Dillon, Hassan Sajjad, Rajesh Bhatt:
UrBLiMP: A Benchmark for Evaluating the Linguistic Competence of Large Language Models in Urdu. - Cihang Peng, Qiming Hou, Zhong Ren, Kun Zhou:
ROVI: A VLM-LLM Re-Captioned Dataset for Open-Vocabulary Instance-Grounded Text-to-Image Generation. - Gnankan Landry Regis N'guessan:
v-PuNNs: van der Put Neural Networks for Transparent Ultrametric Representation Learning. - Yiyi Lu, Hoiian Au, Junyao Zhang, Jingyu Pan, Yiting Wang, Ang Li, Jianyi Zhang, Yiran Chen:
AutoEDA: Enabling EDA Flow Automation through Microservice-Based LLM Agents. - Arjun Manoj, Anastasia S. Georgiou, Dimitris G. Giovanis, Themistoklis P. Sapsis, Ioannis G. Kevrekidis:
On Some Tunable Multi-fidelity Bayesian Optimization Frameworks. - Cheng-You Lu, Zhuoli Zhuang, Nguyen Thanh Trung Le, Da Xiao, Yu-Cheng Chang, Thomas Do, Srinath Sridhar, Chin-Teng Lin:
Hestia: Hierarchical Next-Best-View Exploration for Systematic Intelligent Autonomous Data Collection. - Byron Dowling, Jozef Porubcin, Adam Czajka:
AutoSIGHT: Automatic Eye Tracking-based System for Immediate Grading of Human experTise. - Muhammad Zeeshan, Umer Zaki, Syed Ahmed Pasha, Zaar Khizar:
3D Reconstruction via Incremental Structure From Motion. - (Withdrawn) CADDesigner: Conceptual Design of CAD Models Based on General-Purpose Agent.
- Omar Elgohary, Nathan Jorgenson, Trenton Marple:
Addressing Cold Start For next-article Recommendation. - Natalia Stanusch, Martin Degeling, Salvatore Romano, Raziye Buse Çetin, Miazia Schüler, Silvia Semenzin:
AI-Generated Algorithmic Virality. - Théo Di Piazza, Carole Lazarus, Olivier Nempont, Loïc Boussel:
Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans. - Efe Aglamazlar, Emirhan Eken, Harun Batur Geçici:
A Deep Reinforcement Learning-Based TCP Congestion Control Algorithm: Design, Simulation, and Evaluation. - Jesse He, Akbar Rafiey, Gal Mishne, Yusu Wang:
Explaining GNN Explanations with Edge Gradients. - Nicholas E. Corrado, Josiah P. Hanna:
Centralized Adaptive Sampling for Reliable Co-Training of Independent Multi-Agent Policies. - Isabelle Bakker, John Hastings:
Autonomous Penetration Testing: Solving Capture-the-Flag Challenges with LLMs. - Xuan Liu, Siru Ouyang, Xianrui Zhong, Jiawei Han, Huimin Zhao:
FGBench: A Dataset and Benchmark for Molecular Property Reasoning at Functional Group-Level in Large Language Models. - Sebastian G. Elbaum, Jonathan Panter:
Managing Escalation in Off-the-Shelf Large Language Models. - Fengze Yang, Bo Yu, Yang Zhou, Xuewen Luo, Zhengzhong Tu, Chenxi Liu:
Edge-Based Multimodal Sensor Data Fusion with Vision Language Models (VLMs) for Real-time Autonomous Vehicle Accident Avoidance. - Sajana Weerawardhena, Paul Kassianik, Blaine Nelson, Baturay Saglam, Anu Vellore, Aman Priyanshu, Supriti Vijay, Massimo Aufiero, Arthur Goldblatt, Fraser Burch, Ed Li, Jianliang He, Dhruv Kedia, Kojin Oshiba, Zhouran Yang, Yaron Singer, Amin Karbasi:
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report. - Ibrahim Althamary, Cheng-Fu Chou, Chih-Wei Huang:
Connectivity Management in Satellite-Aided Vehicular Networks with Multi-Head Attention-Based State Estimation. - Chenyi Wang, Ruoyu Song, Raymond Muller, Jean-Philippe Monteuuis, Z. Berkay Celik, Jonathan Petit, Ryan M. Gerdes, Ming Li:
CP-FREEZER: Latency Attacks against Vehicular Cooperative Perception. - Veeti Ahvonen, Maurice Funk, Damian Heiman, Antti Kuusisto, Carsten Lutz:
Expressive Power of Graph Transformers via Logic. - Zhengxin Zhang, Shufang Qian, Yi Wang, Xiao Liu, Thuong N. Hoang, Chetan Arora, Jingjing Zhang, Henry Been-Lirn Duh:
How Long Does It Take to Alleviate Discomfort? A Preliminary Study on Reducing Cybersickness in Novice Users. - Martin Böckling, Heiko Paulheim:
gpuRDF2vec - Scalable GPU-based RDF2vec. - Hongyu Zhu, Sichu Liang, Wenwen Wang, Zhuomeng Zhang, Fangqi Li, Shi-Lin Wang:
Evading Data Provenance in Deep Neural Networks. - Wenqian Jiang, Aditya Rangarajan, Line Roald:
Consumer-based Carbon Costs: Integrating Consumer Carbon Preferences in Electricity Markets. - Johann Birnick:
The Lattice Geometry of Neural Network Quantization - A Short Equivalence Proof of GPTQ and Babai's algorithm. - Klaus Deckelnick, Harald Garcke, Balázs Kovács:
Error estimates for a surface finite element method for anisotropic mean curvature flow. - Santiago Diaz, Xinghui Hu, Josiane Uwumukiza, Giovanni Lavezzi, Víctor Rodríguez-Fernández, Richard Linares:
DreamSat-2.0: Towards a General Single-View Asteroid 3D Reconstruction. - Yunlai Liao, Yihan Wang, Chen Fang, Xin Yang, Xianping Zeng, Dimitrios Chronopoulos, Xinlin Qing:
Baseline-free Damage Detection and Localization on Composite Structures with Unsupervised Kolmogorov-Arnold Autoencoder and Guided Waves. - Yuki Shirai, Kei Ota, Devesh K. Jha, Diego Romeres:
Learning Pivoting Manipulation with Force and Vision Feedback Using Optimization-based Demonstrations. - Pengcheng Zhou, Yinglun Feng, Zhongliang Yang:
Provably Secure Retrieval-Augmented Generation. - Mohammad Moltafet, Hamid R. Sadjadpour, Zouheir Rezki:
An Unconditionally Secure Encryption Scheme for IoBT Networks. - Ryan Rabinowitz, Steve Cruz, Walter J. Scheirer, Terrance E. Boult:
COSTARR: Consolidated Open Set Technique with Attenuation for Robust Recognition. - Uvini Balasuriya Mudiyanselage, Bharat Jayprakash, Kookjin Lee, K. Hazel Kwon:
Disaggregated Health Data in LLMs: Evaluating Data Equity in the Context of Asian American Representation. - Maryam Cheema, Sina Elahimanesh, Samuel Martin, Pooyan Fazli, Hasti Seifi:
DescribePro: Collaborative Audio Description with Human-AI Interaction. - Mikhail Bychkov, Matey Yordanov, Andrei Kuchma:
AURA: A Hybrid Spatiotemporal-Chromatic Framework for Robust, Real-Time Detection of Industrial Smoke Emissions. - Michael Farag, Patrick Halina, Andrey Zaytsev, Alekhya Munagala, Imtihan Ahmed, Junhao Wang:
Cross-Domain Web Information Extraction at Pinterest. - Neil F. Johnson, Frank Yingjie Huo:
Multispin Physics of AI Tipping Points and Hallucinations. - Yuekun Dai, Haitian Li, Shangchen Zhou, Chen Change Loy:
Trans-Adapter: A Plug-and-Play Framework for Transparent Image Inpainting. - Siddharth Rout, Eldad Haber, Stéphane Gaudreault:
Flow Matching for Probabilistic Learning of Dynamical Systems from Missing or Noisy Data. - Haocheng Zhao, Niklas Schlüter, Lukas Brunke, Angela P. Schoellig:
Improving Drone Racing Performance Through Iterative Learning MPC. - Md Sultanul Islam Ovi, Jamal Hossain, Md Raihan Alam Rahi, Fatema Akter:
Protecting Student Mental Health with a Context-Aware Machine Learning Framework for Stress Monitoring. - Shima Yousefi, Motahare Mounesan, Saptarshi Debroy:
AdVAR-DNN: Adversarial Misclassification Attack on Collaborative DNN Inference. - Mohsen Dehghankar, Raghav Mittal, Suraj Shetiya, Abolfazl Asudeh, Gautam Das:
Efficient Direct-Access Ranked Retrieval. - Satiyabooshan Murugaboopathy, Connor T. Jerzak, Adel Daoud:
Platonic Representations for Poverty Mapping: Unified Vision-Language Codes or Agent-Induced Novelty? - Ezequiel França dos Santos:
Cross-Device Motion Interaction via Apple's Native System Frameworks. - Yizhou Zhao, Haoyu Chen, Chunjiang Liu, Zhenyang Li, Charles Herrmann, Junhwa Hur, Yinxiao Li, Ming-Hsuan Yang, Bhiksha Raj, Min Xu:
MASIV: Toward Material-Agnostic System Identification from Videos. - Yang Liu, Xuejiao Kang, Sathya Iyer, Idris Malik, Ruixuan Li, Juan Wang, Xinchen Lu, Xiangxue Zhao, Dayong Wang, Menghan Liu, Isaac Liu, Feng Liang, Yinzhe Yu:
A hierarchy tree data structure for behavior-based user segment representation. - Saba Ahmadi, Rabiul Awal, Ankur Sikarwar, Amirhossein Kazemnejad, Ge Ya Luo, Juan A. Rodríguez, Sai Rajeswar, Siva Reddy, Christopher Pal, Benno Krojer, Aishwarya Agrawal:
The Promise of RL for Autoregressive Image Editing. - Satoshi Furutani, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida:
Network Prebunking Problem: Optimizing Prebunking Targets to Suppress the Spread of Misinformation in Social Networks. - Simón Peña-Fernández, Urko Peña-Alonso, Ainara Larrondo-Ureta, Jordi Morales-i-Gras:
Shooting the Messenger? Harassment and Hate Speech Directed at Journalists on Social Media. - Chaitanya Patel, Hiroki Nakamura, Yuta Kyuragi, Kazuki Kozuka, Juan Carlos Niebles, Ehsan Adeli:
UniEgoMotion: A Unified Model for Egocentric Motion Reconstruction, Forecasting, and Generation. - Leyao Wang, Xutao Mao, Xuhui Zhan, Yuying Zhao, Bo Ni, Ryan A. Rossi, Nesreen K. Ahmed, Tyler Derr:
Towards Bridging Review Sparsity in Recommendation with Textual Edge Graph Representation. - Emily Sheetz, Emma Zemler, Misha Savchenko, Connor Rainen, Erik Holum, Jodi Graf, Andrew Albright, Shaun Azimi, Benjamin Kuipers:
Human-Robot Red Teaming for Safety-Aware Reasoning. - Sateesh Kumar, Shivin Dass, Georgios Pavlakos, Roberto Martín-Martín:
COLLAGE: Adaptive Fusion-based Retrieval for Augmented Policy Learning. - Ran Li, Lingshu Zeng:
Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice. - Wei Zhou, Peng Sun, Xuanhe Zhou, Qianglei Zang, Ji Xu, Tieying Zhang, Guoliang Li, Fan Wu:
DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs. - Zeduo Zhang, Yalda Mohsenzadeh:
Semi-Supervised Anomaly Detection in Brain MRI Using a Domain-Agnostic Deep Reinforcement Learning Approach. - Huyu Wu, Duo Su, Junjie Hou, Guang Li:
Dataset Condensation with Color Compensation. - Baolin Kuang, Hongfei Fu, Xiaoli Li:
Error estimates of linear decoupled structure-preserving incremental viscosity splitting methods for the Cahn-Hilliard-Navier-Stokes system. - Mohammad Saddam Hosen, MD Shahidul Islam Fakir, Shamal Chandra Hawlader, Farzana Rahman, Tasmim Karim, Muhammed Habil Uddin:
Generative AI-Driven Decision-Making for Disease Control and Pandemic Preparedness Model 4.0 in Rural Communities of Bangladesh: Management Informatics Approach. - Jiahui Shang, Luning Zhang, Zhongxiang Zheng:
Beyond Algorithmic Proofs: Towards Implementation-Level Provable Security. - Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryotaro Shimizu, Hiroki Naganuma:
DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging. - Yufeng Wu, Dennis Hong:
Design of Q8bot: A Miniature, Low-Cost, Dynamic Quadruped Built with Zero Wires. - Dianyi Yang, Xihan Wang, Yu Gao, Shiyang Liu, Bohan Ren, Yufeng Yue, Yi Yang:
OpenGS-Fusion: Open-Vocabulary Dense Mapping with Hybrid 3D Gaussian Splatting for Refined Object-Level Understanding. - Yu Lei, Jinbin Bai, Qingyu Shi, Aosong Feng, Kaidong Yu:
Personalized Safety Alignment for Text-to-Image Diffusion Models. - Xinyu Yan, Meijun Sun, Ge-Peng Ji, Fahad Shahbaz Khan, Salman Khan, Deng-Ping Fan:
LawDIS: Language-Window-based Controllable Dichotomous Image Segmentation. - Xiahan Yang, Hui Zheng:
TEACH: Text Encoding as Curriculum Hints for Scene Text Recognition. - Yuma Akiba, Shota Nakayama, Keigo Ushiyama, Izumi Mizoguchi, Hiroyuki Kajimoto:
Presentation of Low-Frequency Vibration to the Face Using Amplitude Modulation. - Yunlong Lin, Zirui Li, Guodong Du, Xiaocong Zhao, Cheng Gong, Xinwei Wang, Chao Lu, Jianwei Gong:
H2C: Hippocampal Circuit-inspired Continual Learning for Lifelong Trajectory Prediction in Autonomous Driving. - Liam G. McCoy, Fateme Nateghi Haredasht, Kanav Chopra, David Wu, David JH Wu, Abass Conteh, Sarita Khemani, Saloni Kumar Maharaj, Vishnu Ravi, Arth Pahwa, Yingjie Weng, Leah Rosengaus, Lena Giang, Kelvin Zhenghao Li, Olivia Jee, Daniel Shirvani, Ethan Goh, Jonathan H. Chen:
Asking the Right Questions: Benchmarking Large Language Models in the Development of Clinical Consultation Templates. - Jiyu Chen, Necva Bölücü, Sarvnaz Karimi, Diego Mollá, Cécile Paris:
CSIRO-LT at SemEval-2025 Task 11: Adapting LLMs for Emotion Recognition for Multiple Languages. - Jing Tang, Qing Xiao, Kunxu Du, Zaiqiao Ye:
RoboLinker: A Diffusion-model-based Matching Clothing Generator Between Humans and Companion Robots. - Bingshen Mu, Hexin Liu, Hongfei Xue, Kun Wei, Lei Xie:
Hearing More with Less: Multi-Modal Retrieval-and-Selection Augmented Conversational LLM-Based ASR. - Hongquan Zhang, Jingyu Gong, Zhizhong Zhang, Xin Tan, Yanyun Qu, Yuan Xie:
T2S: Tokenized Skill Scaling for Lifelong Imitation Learning. - Zhangfeng Hu, Mengxin Shi:
Graph-based Interaction Augmentation Network for Robust Multimodal Sentiment Analysis. - Chengzhang Zhu, Cecile H. Sam, Yanlai Wu, Ying Tang:
WIP: Enhancing Game-Based Learning with AI-Driven Peer Agents. - Tuan Duc Ngo, Ashkan Mirzaei, Guocheng Qian, Hanwen Liang, Chuang Gan, Evangelos Kalogerakis, Peter Wonka, Chaoyang Wang:
DELTAv2: Accelerating Dense 3D Tracking. - Ranran Huang, Krystian Mikolajczyk:
No Pose at All: Self-Supervised Pose-Free 3D Gaussian Splatting from Sparse Views. - Fan Wu, Kaicheng Zhao, Elgar Fleisch, Filipe Barata:
GeHirNet: A Gender-Aware Hierarchical Model for Voice Pathology Classification. - Jiayi Chen, Jing Li, Guiling Wang:
MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management. - Kaichen Zhang, Shenghao Gao, Yuzhong Hong, Haipeng Sun, Junwei Bao, Hongfei Jiang, Yang Song, Dingqian Hong, Hui Xiong:
RSPO: Risk-Seeking Policy Optimization for Pass@k and Max@k Metrics in Large Language Models. - Shiko Kudo:
From Taylor Series to Fourier Synthesis: The Periodic Linear Unit. - Yi Jiang, Wei Wang, Xianwen Guo, Huiyun Liu, Hanrui Wang, Youri Xu, Haoqi Gu, Zhongqian Xie, Chuanjiang Luo:
Advancing the Foundation Model for Music Understanding. - Bowen Wang, Marco Bertuletti, Yichao Zhang, Victor J. B. Jung, Luca Benini:
A Dynamic Allocation Scheme for Adaptive Shared-Memory Mapping on Kilo-core RV Clusters for Attention-Based Model Deployment. - Zhiyuan Han, Beier Zhu, Yanlong Xu, Peipei Song, Xun Yang:
Benchmarking and Bridging Emotion Conflicts for Multimodal Emotion Reasoning. - Xinhang Wan, Dongqiang Gou, Xinwang Liu, En Zhu, Xuming He:
Object Affordance Recognition and Grounding via Multi-scale Cross-modal Representation Learning. - Chaojia Yu, Zihan Cheng, Hanwen Cui, Yishuo Gao, Zexu Luo, Yijin Wang, Hangbin Zheng, Yong Zhao:
A Survey on Agent Workflow - Status and Future. - Zhuo Yang, Jiaqing Xie, Shuaike Shen, Daolang Wang, Yeyun Chen, Ben Gao, Shuzhou Sun, Biqing Qi, Dongzhan Zhou, Lei Bai, Linjiang Chen, Shufei Zhang, Jun Jiang, Tianfan Fu, Yuqiang Li:
SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy.