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FVG-PT: Adaptive Foreground View-Guided Prompt Tuning for Vision-Language ModelsShanghaiTech University, University of Technology Sydney
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Multi-level meta-reinforcement learning with skill-based curriculumJohns Hopkins University
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Granulon: Awakening Pixel-Level Visual Encoders with Adaptive Multi-Granularity Semantics for MLLMNanyang Technological University, National University of Singapore
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Large Language Model-Assisted Superconducting Qubit ExperimentsAalto University, Rensselaer Polytechnic Institute, University of Chicago
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The Temporal Markov Transition Field
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Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral SpecificationsFiverrLabs
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Where, What, Why: Toward Explainable 3D-GS WatermarkingNanyang Technological University, Southeast University, Waseda University
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VisionCreator-R1: A Reflection-Enhanced Native Visual-Generation Agentic ModelHong Kong University of Science and Technology, Tencent Hunyuan
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Scale-Plan: Scalable Language-Enabled Task Planning for Heterogeneous Multi-Robot TeamsHonda Research Institute, University of California, Riverside
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Training Language Models via Neural Cellular AutomataImprobable AI Lab, Massachusetts Institute of Technology
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Beyond Relevance: On the Relationship Between Retrieval and RAG Information CoverageJohns Hopkins University, National Institute of Standards and Technology, University of New Hampshire
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Fish Audio S2 Technical Report
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SoftJAX & SoftTorch: Empowering Automatic Differentiation Libraries with Informative GradientsMasaryk University, Max Planck Institute for Biogeochemistry, Max Planck Institute for Intelligent Systems, University of Tübingen
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Are Expressive Encoders Necessary for Discrete Graph Generation?Michigan State University, University of Texas at Arlington
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Computer Vision-Based Vehicle Allotment System using Perspective MappingNational Institute of Technology Rourkela
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MASEval: Extending Multi-Agent Evaluation from Models to SystemsParameter Lab / Korea Advanced Institute of Science and Technology, Mohamed bin Zayed University of Artificial Intelligence, NAVER AI Lab, TU Darmstadt, University of Oxford, University of Tübingen
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A Lightweight Multi-Cancer Tumor Localization Framework for Deployable Digital PathologyIndiana University, University of Pittsburgh, UPMC Hillman Cancer Center
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HECTOR: Hybrid Editable Compositional Object References for Video Generation
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SBOMs into Agentic AIBOMs: Schema Extensions, Agentic Orchestration, and Reproducibility EvaluationAlan Turing Institute, University of Oxford
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LDP: An Identity-Aware Protocol for Multi-Agent LLM SystemsIndian School of Business
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Unpacking Interpretability: Human-Centered Criteria for Optimal Combinatorial SolutionsTechnical University of Darmstadt, University of Vienna
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Expressivity-Efficiency Tradeoffs for Hybrid Sequence ModelsUniversity of Wisconsin-Madison
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APPLV: Adaptive Planner Parameter Learning from Vision-Language-Action ModelGeorge Mason University, Rutgers University, University of South Florida
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Why Channel-Centric Models are not Enough to Predict End-to-End Performance in Private 5G: A Measurement Campaign and Case StudyKTH Royal Institute of Technology
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One Language, Two Scripts: Probing Script-Invariance in LLM Concept RepresentationsColumbia University
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Quantifying the Accuracy and Cost Impact of Design Decisions in Budget-Constrained Agentic LLM SearchLouisiana State University
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MultiGraSCCo: A Multilingual Anonymization Benchmark with Annotations of Personal IdentifiersBerlin Institute for the Foundations of Learning and Data, Charité – Universitätsmedizin Berlin, German Research Center for Artificial Intelligence, Humboldt-Universität zu Berlin, Technische Universitat Berlin, University of Potsdam
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From Word2Vec to Transformers: Text-Derived Composition Embeddings for Filtering Combinatorial ElectrocatalystsRuhr-Universität Bochum
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Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving ArchitecturesClemson University
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Towards Visual Query Segmentation in the WildUniversity of North Texas
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ConFu: Contemplate the Future for Better Speculative SamplingQualcomm AI Research, University of California
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A New Modeling to Feature Selection Based on the Fuzzy Rough Set Theory in Normal and Optimistic States on Hybrid Information SystemsIslamic Azad University
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NetDiffuser: Deceiving DNN-Based Network Attack Detection Systems with Diffusion-Generated Adversarial TrafficNew Mexico State University, The U.S. Army Combat Capabilities Development Command, University of Hartford
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Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center ShiftBC Cancer Research Institute, University of British Columbia
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Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting
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SciTaRC: Benchmarking QA on Scientific Tabular Data that Requires Language Reasoning and Complex ComputationJohns Hopkins University
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FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID DataSapienza University of Rome
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Quantifying Memorization and Privacy Risks in Genomic Language ModelsCase Western Reserve University, Rutgers University, University of Texas
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Uncovering a Winning Lottery Ticket with Continuously Relaxed Bernoulli GatesBar-Ilan University
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Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical ReasoningMcMaster University, Queen’s University, University of British Columbia, Vector Institute
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Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agents
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Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement
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MEGC2026: Micro-Expression Grand Challenge on Visual Question AnsweringHeriot-Watt University Malaysia, Manchester Metropolitan University, University of Chinese Academy of Sciences
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TIDE: Text-Informed Dynamic Extrapolation with Step-Aware Temperature Control for Diffusion TransformersRice University, University of Houston
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Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context LearningUniversity of California
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Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity NetworksThe Institute of Electrical and Electronics Engineers
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Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality AssuranceOld Dominion University
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PathoScribe: Transforming Pathology Data into a Living Library with a Unified LLM-Driven Framework for Semantic Retrieval and Clinical Integration
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VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMsThe University of Sheffield, University of Southern California
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Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges AheadGeorgia Institute of Technology, University of California
