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CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling
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S2S-FDD: Bridging Industrial Time Series and Natural Language for Explainable Zero-shot Fault DiagnosisZhejiang University
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Examining the Role of YouTube Production and Consumption Dynamics on the Formation of Extreme IdeologiesUniversity of Iowa
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Speed3R: Sparse Feed-forward 3D Reconstruction ModelsBaidu AMU, The University of Hong Kong
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See and Switch: Vision-Based Branching for Interactive Robot-Skill ProgrammingCzech Institute of Informatics, Robotics, and Cybernetics, Czech Technical University
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Stabilized Fine-Tuning with LoRA in Federated Learning: Mitigating the Side Effect of Client Size and Rank via the Scaling FactorAgency for Science, Technology and Research, Singapore, Beijing University of Posts and Telecommunications
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ImageEdit-R1: Boosting Multi-Agent Image Editing via Reinforcement Learning
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Adversarial Domain Adaptation Enables Knowledge Transfer Across Heterogeneous RNA-Seq DatasetsIBISC Laboratory, University Evry, University Paris-Saclay
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Enhancing Cross-View UAV Geolocalization via LVLM-Driven Relational ModelingCity University of Hong Kong, Zhejiang University of Technology
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Evaluating Generative Models via One-Dimensional Code Distributions
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Deterministic Differentiable Structured Pruning for Large Language ModelsAnt Group, Tsinghua University
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In-Context Reinforcement Learning for Tool Use in Large Language ModelsNational University of Singapore, Salesforce AI Research, University of California, Berkeley, University of California, Santa Cruz
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Synthetic Defect Image Generation for Power Line Insulator Inspection Using Multimodal Large Language ModelsWayne State University
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AgentOS: From Application Silos to a Natural Language-Driven Data EcosystemArizona State University, Clemson University, Duke University, University of Kansas
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PlayWorld: Learning Robot World Models from Autonomous PlayPrinceton University
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AtomVLA: Scalable Post-Training for Robotic Manipulation via Predictive Latent World ModelsINFIFORCE Intelligent Technology / Huazhong University of Science and Technology, The University of Hong Kong, Tsinghua University
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Scale Space DiffusionUniversity of Maryland
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Agentic Critical TrainingUniversity of Maryland
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RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic FeedbackNational University of Singapore, Shanghai AI Lab
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PostTrainBench: Can LLM Agents Automate LLM Post-Training?ELLIS Institute Tübingen, Max Planck Institute for Intelligent Systems, Tübingen AI Center, University of Tübingen
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\$OneMillion-Bench: How Far are Language Agents from Human Experts?Beijing Institute for General Artificial Intelligence
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How Far Can Unsupervised RLVR Scale LLM Training?Peking University, Shanghai AI Lab, Shanghai Jiao Tong University, Tsinghua University, University of Illinois Urbana-Champaign, Xi'an Jiaotong University
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AI Agent Traps
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Context-Enriched Natural Language Descriptions of Vessel Trajectories
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From Garbage to Gold: A Data-Architectural Theory of Predictive Robustness
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Sparsity and Out-of-Distribution GeneralizationUniversity of Texas
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Feed m Birds with One Scone: Accelerating Multi-task Gradient Balancing via Bi-level Optimization
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Deterministic Fuzzy Triage for Legal Compliance Classification and Evidence Retrieval
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Can Large Language Models Keep Up? Benchmarking Online Adaptation to Continual Knowledge StreamsKorea Advanced Institute of Science & Technology, New York University, University of North Carolina at Chapel Hill
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AQuA: Toward Strategic Response Generation for Ambiguous Visual QuestionsPohang University of Science and Technology
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Interpretable Aneurysm Classification via 3D Concept Bottleneck Models: Integrating Morphological and Hemodynamic Clinical FeaturesArab Academy for Science and Technology, Zewail City of Science and Technology
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VIVECaption: A Split Approach to Caption Quality Improvement
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Generalizing Linear Autoencoder Recommenders with Decoupled Expected Quadratic LossAuburn University, Kent State University
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Prompt-Based Caption Generation for Single-Tooth Dental Images Using Vision-Language ModelsMarshall University, West Virginia State University
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Adaptive Capacity Allocation for Vision Language Action Fine-tuningSeoul National University, Sungkyunkwan University
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UnSCAR: Universal, Scalable, Controllable, and Adaptable Image RestorationUniversity of California, University of North Carolina at Chapel Hill
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Safety Under Scaffolding: How Evaluation Conditions Shape Measured SafetyHarvard University
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Machine Learning for the Internet of Underwater Things: From Fundamentals to ImplementationUniversity of Glasgow
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QdaVPR: A novel query-based domain-agnostic model for visual place recognitionNational University of Defense Technology
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Context Channel Capacity: An Information-Theoretic Framework for Understanding Catastrophic Forgetting
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DualSpec: Accelerating Deep Research Agents via Dual-Process Action SpeculationPeking University
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Dynamic Vehicle Routing Problem with Prompt Confirmation of Advance Requests
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AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
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Disentangled Textual Priors for Diffusion-based Image Super-ResolutionNanjing University
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OrthoFormer: Instrumental Variable Estimation in Transformer Hidden States via Neural Control FunctionsMetro State University
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Generalization in Online Reinforcement Learning for Mobile AgentsConcordia University, McMaster University, Mila–Quebec AI Institute, Université de Montréal, University of Toronto
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Data Agent: Learning to Select Data via End-to-End Dynamic OptimizationNanjing University, Nanyang Technological University, National University of Singapore
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RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp SegmentationEast China Normal University
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Cost-Driven Representation Learning for Linear Quadratic Gaussian Control: Part IIMassachusetts Institute of Technology, Technical University of Munich, University of Maryland
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Machine Learning for Stress Testing: Uncertainty Decomposition in Causal Panel PredictionCalifornia State University, Hong Kong University of Science and Technology
