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Silicon Bureaucracy and AI Test-Oriented Education: Contamination Sensitivity and Score Confidence in LLM Benchmarks
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No Dense Tensors Needed: Fully Sparse Object Detection on Event-Camera Voxel Grids
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Engineering Distributed Governance for Regional Prosperity: A Socio-Technical Framework for Mitigating Under-Vibrancy via Human Data Engines
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FedCVU: Federated Learning for Cross-View Video Understanding
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MISApp: Multi-Hop Intent-Aware Session Graph Learning for Next App Prediction
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Towards Secure Retrieval-Augmented Generation: A Comprehensive Review of Threats, Defenses and Benchmarks
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TrustFed: Enabling Trustworthy Medical AI under Data Privacy Constraints
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A Comparative Analysis of LLM Memorization at Statistical and Internal Levels: Cross-Model Commonalities and Model-Specific Signatures
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OmniFM: Toward Modality-Robust and Task-Agnostic Federated Learning for Heterogeneous Medical Imaging
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Cross-Scenario Deraining Adaptation with Unpaired Data: Superpixel Structural Priors and Multi-Stage Pseudo-Rain Synthesis
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TAMTRL: Teacher-Aligned Reward Reshaping for Multi-Turn Reinforcement Learning in Long-Context Compression
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HumanOmni-Speaker: Identifying Who said What and When
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Optimal Memory Encoding Through Fluctuation-Response Structure
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Rethinking Multimodal Fusion for Time Series: Auxiliary Modalities Need Constrained Fusion
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PRM-as-a-Judge: A Dense Evaluation Paradigm for Fine-Grained Robotic Auditing
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Optimizing Multi-Agent Weather Captioning via Text Gradient Descent: A Training-Free Approach with Consensus-Aware Gradient Fusion
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SPINONet: Scalable Spiking Physics-informed Neural Operator for Computational Mechanics Applications
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Thinking Deeper, Not Longer: Depth-Recurrent Transformers for Compositional Generalization
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CoNBONet: Conformalized Neuroscience-inspired Bayesian Operator Network for Reliability Analysis
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LipsAM: Lipschitz-Continuous Amplitude Modifier for Audio Signal Processing and its Application to Plug-and-Play Dereverberation
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MIRAGE: The Illusion of Visual Understanding
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AI Token Futures Market: Commoditization of Compute and Derivatives Contract Design
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Reasoning Provenance for Autonomous AI Agents: Structured Behavioral Analytics Beyond State Checkpoints and Execution Traces
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Deterministic Hallucination Detection in Medical VQA via Confidence-Evidence Bayesian Gain
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RefracGS: Novel View Synthesis Through Refractive Water Surfaces with 3D Gaussian Ray Tracing
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MIND: Multi-agent inference for negotiation dialogue in travel planning
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Structured Visual Narratives Undermine Safety Alignment in Multimodal Large Language Models
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A Blueprint for Self-Evolving Coding Agents in Vehicle Aerodynamic Drag Prediction
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PPGL-Swarm: Integrated Multimodal Risk Stratification and Hereditary Syndrome Detection in Pheochromocytoma and Paraganglioma
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Rethinking Token Reduction for Large Vision-Language Models
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Data-Free Layer-Adaptive Merging via Fisher Information for Long-to-Short Reasoning LLMs
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Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning
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When Exploration Comes for Free with Mixture-Greedy: Do we need UCB in Diversity-Aware Multi-Armed Bandits?
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Uncertainty Quantification for Distribution-to-Distribution Flow Matching in Scientific Imaging
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Probing How Scalable Table Data Enhances General Long-Context Reasoning
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SemEval-2026 Task 12: Abductive Event Reasoning: Towards Real-World Event Causal Inference for Large Language Models
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FISformer: Replacing Self-Attention with a Fuzzy Inference System in Transformer Models for Time Series Forecasting
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CurvZO: Adaptive Curvature-Guided Sparse Zeroth-Order Optimization for Efficient LLM Fine-Tuning
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Three Creates All: You Only Sample 3 Steps
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EvoIdeator: Evolving Scientific Ideas through Checklist-Grounded Reinforcement Learning
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Cognitive Agency Surrender: Defending Epistemic Sovereignty via Scaffolded AI Friction
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The Reasoning Error About Reasoning: Why Different Types of Reasoning Require Different Representational Structures
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AI Co-Scientist for Ranking: Discovering Novel Search Ranking Models alongside LLM-based AI Agents with Cloud Computing Access
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CellFluxRL: Biologically-Constrained Virtual Cell Modeling via Reinforcement Learning
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The Presupposition Problem in Representation Genesis
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Getting to the Point: Why Pointing Improves LVLMs
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Model selection in hybrid quantum neural networks with applications to quantum transformer architectures
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Identifiability and amortized inference limitations in Kuramoto models
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Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
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Cycle Inverse-Consistent TransMorph: A Balanced Deep Learning Framework for Brain MRI Registration
