Global Coherence: When Every Agent Is Right and the Team Is Still Wrong - A Local-to-Global Semantic Foundation for Multi-Agent Collaboration
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New papers, breakthroughs and academic AI research
HydroJEV: A one-second, training-free screen for cyber-attack and fault attribution in water distribution networks
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External Observers May See More Clearly: Cross-Model Span-Level Hallucination Detection in Large Language Models via Hidden State Probing
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Homomorphic Advantage Operator: Stabilizing Reinforcement Learning Under Fully Homomorphic Encryption Constraints
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Forking: Sudden Overfitting Under Replay
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DeBERTa-ConPara: Attack-Aware and Deployment-Realistic Detection of AI-Generated Text
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CtrlWAM: Controllable World Action Models with Aligned Intent and Foresight
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The Devil Is in the Reconstruction Loss Scale: Rethinking Optimization in LLM Quantization
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Auditing Action Settlement in LLM Agent Environments: Order, Progress, and Replay
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T2SPO: Trajectory-to-Step Policy Optimization for Agentic Reinforcement Learning
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ReHoPER: Receding-Horizon Planning for Enhanced Reasoning
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The Geometry of Contextual Relations: Language Models Address Facts by Order of Mention
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