Meta-Multi-Agent Reinforcement Learning for Fast Adaptation of Interactive Policies with Applications to Autonomous Driving
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Legal Research Bench: Measuring End-to-End Reliability in Long-Horizon Legal Research Agents
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Sharp Oracle-Regret Tradeoffs for Projection-Free Online Convex Optimization
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Ontology-Grounded, Reasoner-Verified Benchmarks for Evaluating LLM Reasoning in Scientific AI
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MOVE: Multimodal Open-world Verification and Expansion for Graph Learning
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Stable and Counterfactually Robust Physical World Models from Imposed Structure and Learned Physics
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Robust Nash Alignment under Preference Uncertainty
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FORTE: Adaptive Scoring and Exact Keyframe Selection for Long-Video Question Answering
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Gestalt: Large Multimodal Interplay Model
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Incident-Arena: Getting agents to the last nine of reliability
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Backdoor Containment via Expert Quarantine and Shutdown in LLMs
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Partial AUC Maximization from Positive-unlabeled Data
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