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MedBenchAgent: Towards Systematic Automation of Medical VLM Benchmark Construction
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EvoSim: Learning to Model, Modeling to Learn
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SynCo: Data Synthesis Co-Training for Self-Evolving LLMs via Multi-Agent Reinforcement Learning
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RL-ARC: Calibrating Large Reasoning Models via Reasoning-guided Uncertainty
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AffordDrive3D: Affordance-Aware World-Action Modeling with Spatial Understanding
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Can a System-One LLM Perform Knowledge Tracing When Few or No Learners Are Logged?
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RAG-Stress: Probing the Limits of Evidence Reliance in Retrieval-Augmented Generation
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MotherTree: Meta-learning on synthetic data improves decision tree training
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Writing for the Reviewer: Defensive Writing in GPT Models
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Continuous Ground-Truth Construction and a Recovery Policy for Air--Water Robotic Tracking
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DivMoE: Fine-Grained MoE Upcycling via Cross-Domain Expert Composition
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