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研究Enforcing LLM Safety through DMD-based Classification of Prompt-Response Embedding Dynamics(arxiv.org)
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研究Can Agent Memory Systems Track Evolving State?(arxiv.org)
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研究Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scale(arxiv.org)
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研究Symposium: Trust via Auditable Records for Communities of AI Scientist Agents(arxiv.org)
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研究Outcome Monitors: Recovery Affordances for Silent Tool Failures(arxiv.org)
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研究Robust Metaheuristics under Uncertainty for Berth Allocation and Quay Crane Assignment: A Review(arxiv.org)
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研究Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress(arxiv.org)
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研究From Retrieved Context to Runtime Control: Adaptive Compression for Edge-based RAG(arxiv.org)
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研究Learning Hierarchical Skill Policies with Offline Quality-Diversity Reinforcement Learning(arxiv.org)
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研究How to Navigate Uncertainty About AI Consciousness(arxiv.org)
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研究Measuring benchmark optimization in speech recognition(huggingface.co)
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研究Debates over AI consciousness are a trap(technologyreview.com)
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研究The Download: polycrisis support networks and a hydrogen gold rush(technologyreview.com)
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研究Support networks aim to help kids through the polycrisis(technologyreview.com)
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研究ChiroEcho: extending automated bat vocalisation classification beyond the learned taxonomy(arxiv.org)
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研究Allocating Recurrent Compute in Looped Language Models(arxiv.org)
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研究Safety Alignment Illusion: The Cross-Lingual Safety Gap in LLMs(arxiv.org)
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研究What Can Artificial Intelligence Learn from Medicine? Generative Analogies and Reliable Machine Learning Systems(arxiv.org)
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研究Solving Is Not Drawing: A Benchmark for Diagrammatic Reasoning in Olympiad Geometry(arxiv.org)
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研究Position: Behavioral Systems Require Behavioral Tests(arxiv.org)
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研究A Metamorphic Artificial Age Score Decision-Support Prototype for Flight-Log-Based Drone Propeller Health Monitoring(arxiv.org)
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研究Think Shallow, Solve Deep: Controlling Recurrent Dynamics for Reliable Test-Time Depth(arxiv.org)
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研究Towards Reversible Forgetting: Managing Obsolete Knowledge in Continual Enterprise AI Agents(arxiv.org)
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研究FinSkillBench: Evaluating AI Agents and Domain Skills for Investment Management(arxiv.org)
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研究Position: Profiling Game Worlds by Transition Complexity(arxiv.org)
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研究Improving Rural Medication Safety with AI: A Scoping Review(arxiv.org)
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研究Position: Multi-Agent Systems Should Prioritize Concurrency Control(arxiv.org)
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研究A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities(arxiv.org)
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研究Optimized Fuzzy Logic Approach with the IEEE Key Gas Method for Diagnosing Power Transformer Faults Using Dissolved Gas Analysis(arxiv.org)
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研究Position: AI Leaderboards Are Underserving the Global South: A Case Study from India(arxiv.org)
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