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The $qs$ Inequality: Quantifying the Double Penalty of Mixture-of-Experts at Inference
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The FABRIC Strategy for Verifying Neural Feedback Systems
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Semantic Level of Detail: Multi-Scale Knowledge Representation via Heat Kernel Diffusion on Hyperbolic Manifolds
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Can You Hear, Localize, and Segment Continually? An Exemplar-Free Continual Learning Benchmark for Audio-Visual Segmentation
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MAcPNN: Mutual Assisted Learning on Data Streams with Temporal Dependence
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Data-driven robust Markov decision processes on Borel spaces: performance guarantees via an axiomatic approach
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SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing
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SurgCalib: Gaussian Splatting-Based Hand-Eye Calibration for Robot-Assisted Minimally Invasive Surgery
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MAPLE: Elevating Medical Reasoning from Statistical Consensus to Process-Led Alignment
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Automated Thematic Analysis for Clinical Qualitative Data: Iterative Codebook Refinement with Full Provenance
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Arbiter: Detecting Interference in LLM Agent System Prompts
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SkipGS: Post-Densification Backward Skipping for Efficient 3DGS Training
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Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature Conditioning
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Learning When to Sample: Confidence-Aware Self-Consistency for Efficient LLM Chain-of-Thought Reasoning
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Security Considerations for Multi-agent Systems
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Gender Fairness in Audio Deepfake Detection: Performance and Disparity Analysis
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Statistical Inference via Generative Models: Flow Matching and Causal Inference
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Improving through Interaction: Searching Behavioral Representation Spaces with CMA-ES-IG
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The Coupling Within: Flow Matching via Distilled Normalizing Flows
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An accurate flatness measure to estimate the generalization performance of CNN models
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Meissa: Multi-modal Medical Agentic Intelligence
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AI Phenomenology for Understanding Human-AI Experiences Across Eras
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MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games
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The Missing Memory Hierarchy: Demand Paging for LLM Context Windows
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When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size Sufficiency
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Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum Software
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SynPlanResearch-R1: Encouraging Tool Exploration for Deep Research with Synthetic Plans
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Guess & Guide: Gradient-Free Zero-Shot Diffusion Guidance
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An Interpretable Generative Framework for Anomaly Detection in High-Dimensional Financial Time Series
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SoundWeaver: Semantic Warm-Starting for Text-to-Audio Diffusion Serving
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Viewpoint-Agnostic Grasp Pipeline using VLM and Partial Observations
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Slumbering to Precision: Enhancing Artificial Neural Network Calibration Through Sleep-like Processes
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Hospitality-VQA: Decision-Oriented Informativeness Evaluation for Vision-Language Models
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Toward Unified Multimodal Representation Learning for Autonomous DrivingTexas A&M University
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What Do AI Agents Talk About? Emergent Communication Structure in the First AI-Only Social NetworkKent State University, New Jersey Institute of Technology
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CCR-Bench: A Comprehensive Benchmark for Evaluating LLMs on Complex Constraints, Control Flows, and Real-World CasesJiutian Artificial Intelligence Research Institute
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Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model InferenceMassachusetts Institute of Technology, Microsoft Research
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VLM-SubtleBench: How Far Are VLMs from Human-Level Subtle Comparative Reasoning?
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Structure and Progress Aware Diffusion for Medical Image SegmentationAnhui University
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Visualizing Coalition Formation: From Hedonic Games to Image SegmentationUniversidade Federal do Rio de Janeiro
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A Lightweight Traffic Map for Efficient Anytime LaCAM*Monash University
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Revisiting Sharpness-Aware Minimization: A More Faithful and Effective ImplementationShanghai University of Finance and Economics
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Designing probabilistic AI monsoon forecasts to inform agricultural decision-makingLawrence Berkeley National Laboratory, University of California, Berkeley, University of Chicago
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MINT: Molecularly Informed Training with Spatial Transcriptomics Supervision for Pathology Foundation ModelsLG AI Research
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SMGI: A Structural Theory of General Artificial IntelligenceInstitut National des Sciences Appliquées Rouen
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LeJOT-AutoML: LLM-Driven Feature Engineering for Job Execution Time Prediction in Databricks Cost Optimization
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Revisiting Unknowns: Towards Effective and Efficient Open-Set Active LearningNanjing University of Aeronautics and Astronautics
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Bayesian Transformer for Probabilistic Load Forecasting in Smart GridsO&M Analytics, AES Clean Energ, Pabna University of Science and Technology
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EveryQuery: Zero-Shot Clinical Prediction via Task-Conditioned Pretraining over Electronic Health RecordsBiomedical Informatics, Columbia, Harvard Medical School, Harvard-MIT Health Sciences and Technology
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NaviDriveVLM: Decoupling High-Level Reasoning and Motion Planning for Autonomous DrivingTexas A&M University
