Papers
-
Cross-Domain Uncertainty Quantification for Selective Prediction: A Comprehensive Bound Ablation with Transfer-Informed Betting
-
SciTaRC: Benchmarking QA on Scientific Tabular Data that Requires Language Reasoning and Complex ComputationJohns Hopkins University
-
FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID DataSapienza University of Rome
-
Quantifying Memorization and Privacy Risks in Genomic Language ModelsCase Western Reserve University, Rutgers University, University of Texas
-
Uncovering a Winning Lottery Ticket with Continuously Relaxed Bernoulli GatesBar-Ilan University
-
Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical ReasoningMcMaster University, Queen’s University, University of British Columbia, Vector Institute
-
Tool Receipts, Not Zero-Knowledge Proofs: Practical Hallucination Detection for AI Agents
-
Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement
-
MEGC2026: Micro-Expression Grand Challenge on Visual Question AnsweringHeriot-Watt University Malaysia, Manchester Metropolitan University, University of Chinese Academy of Sciences
-
TIDE: Text-Informed Dynamic Extrapolation with Step-Aware Temperature Control for Diffusion TransformersRice University, University of Houston
-
Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context LearningUniversity of California
-
Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity NetworksThe Institute of Electrical and Electronics Engineers
-
Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality AssuranceOld Dominion University
-
PathoScribe: Transforming Pathology Data into a Living Library with a Unified LLM-Driven Framework for Semantic Retrieval and Clinical Integration
-
VoxEmo: Benchmarking Speech Emotion Recognition with Speech LLMsThe University of Sheffield, University of Southern California
-
Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges AheadGeorgia Institute of Technology, University of California
-
BiCLIP: Domain Canonicalization via Structured Geometric TransformationUniversity of Houston, University of Oklahoma
-
Kernel Debiased Plug-in Estimation based on the Universal Least Favorable SubmodelUniversity of North Carolina at Chapel Hill
-
Towards Reliable Simulation-based InferenceNational Institute for Research in Digital Science and Technology, University of Liège
-
A Consensus-Driven Multi-LLM Pipeline for Missing-Person InvestigationsOld Dominion University
-
A Survey of Reinforcement Learning For EconomicsGeorgetown University
-
Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor ComputationRice University
-
The $qs$ Inequality: Quantifying the Double Penalty of Mixture-of-Experts at Inference
-
The FABRIC Strategy for Verifying Neural Feedback SystemsStanford University
-
Semantic Level of Detail: Multi-Scale Knowledge Representation via Heat Kernel Diffusion on Hyperbolic Manifolds
-
Can You Hear, Localize, and Segment Continually? An Exemplar-Free Continual Learning Benchmark for Audio-Visual SegmentationPurdue University
-
MAcPNN: Mutual Assisted Learning on Data Streams with Temporal DependencePolitecnico di Milano
-
Data-driven robust Markov decision processes on Borel spaces: performance guarantees via an axiomatic approachRice University
-
SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware RoutingUniversity of California
-
SurgCalib: Gaussian Splatting-Based Hand-Eye Calibration for Robot-Assisted Minimally Invasive SurgeryNational University of Singapore, University of British Columbia
-
MAPLE: Elevating Medical Reasoning from Statistical Consensus to Process-Led AlignmentHarvard Medical School, Harvard University, Zhejiang University
-
Automated Thematic Analysis for Clinical Qualitative Data: Iterative Codebook Refinement with Full Provenance
-
Arbiter: Detecting Interference in LLM Agent System PromptsGeorgia Institute of Technology, University of British Columbia
-
SkipGS: Post-Densification Backward Skipping for Efficient 3DGS TrainingArizona State University
-
Diffusion-Based Authentication of Copy Detection Patterns: A Multimodal Framework with Printer Signature ConditioningUniversité Claude Bernard Lyon 1, Université Lumière Lyon 2
-
Learning When to Sample: Confidence-Aware Self-Consistency for Efficient LLM Chain-of-Thought ReasoningIntuit AI Research, Vanderbilt University
-
Security Considerations for Multi-agent SystemsNorth Carolina Agricultural and Technical State University
-
Gender Fairness in Audio Deepfake Detection: Performance and Disparity AnalysisInstitut national de la recherche scientifique, Wichita State University
-
Statistical Inference via Generative Models: Flow Matching and Causal Inference
-
Improving through Interaction: Searching Behavioral Representation Spaces with CMA-ES-IGMassachusetts Institute of Technology, University of Southern California
-
The Coupling Within: Flow Matching via Distilled Normalizing Flows
-
An accurate flatness measure to estimate the generalization performance of CNN models
-
Meissa: Multi-modal Medical Agentic IntelligenceCornell University, Johns Hopkins University
-
AI Phenomenology for Understanding Human-AI Experiences Across ErasETH Zurich, Stanford University, University of Bergen
-
MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM GamesAgency for Science, Technology and Research, Singapore, Good Start Labs, Princeton University, Rice University, Toyota Technological Institute at Chicago, University of Texas
-
The Missing Memory Hierarchy: Demand Paging for LLM Context WindowsGeorgia Institute of Technology, University of British Columbia
-
When to Retrain after Drift: A Data-Only Test of Post-Drift Data Size SufficiencyThe University of Osaka
-
Automating Detection and Root-Cause Analysis of Flaky Tests in Quantum SoftwareToronto Metropolitan University, University of Maryland
-
SynPlanResearch-R1: Encouraging Tool Exploration for Deep Research with Synthetic PlansAmazon / University of Illinois Urbana-Champaign, University of Massachusetts Amherst, University of Montreal, University of San Diego
-
Guess & Guide: Gradient-Free Zero-Shot Diffusion GuidanceÉcole Pour l'Informatique et les Techniques Avancées, Institute of Foundation Models, Mohamed bin Zayed University of Artificial Intelligence
