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SciTaRC: Benchmarking QA on Scientific Tabular Data that Requires Language Reasoning and Complex Computation
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FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
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Quantifying Memorization and Privacy Risks in Genomic Language Models
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Uncovering a Winning Lottery Ticket with Continuously Relaxed Bernoulli Gates
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Vision-Language Models Encode Clinical Guidelines for Concept-Based Medical Reasoning
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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 Answering
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TIDE: Text-Informed Dynamic Extrapolation with Step-Aware Temperature Control for Diffusion Transformers
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Using Vision Language Foundation Models to Generate Plant Simulation Configurations via In-Context Learning
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Optimizing Reinforcement Learning Training over Digital Twin Enabled Multi-fidelity Networks
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Interpretable Markov-Based Spatiotemporal Risk Surfaces for Missing-Child Search Planning with Reinforcement Learning and LLM-Based Quality Assurance
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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 LLMs
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Multi-Agent Memory from a Computer Architecture Perspective: Visions and Challenges Ahead
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BiCLIP: Domain Canonicalization via Structured Geometric Transformation
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Kernel Debiased Plug-in Estimation based on the Universal Least Favorable Submodel
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Towards Reliable Simulation-based Inference
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A Consensus-Driven Multi-LLM Pipeline for Missing-Person Investigations
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A Survey of Reinforcement Learning For Economics
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Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation
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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
