Mitigating Tool Overuse for LLMs via Active Knowledge Boundary Probing
Zhaoyu Yang, Wenjun Ke, Yuanyao Li et al.
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Benchmarking and Enhancing Relational Diagrams Reasoning for Multimodal Large Language Models
RD-MCTS, a Monte Carlo Tree Search framework that incorporates diagram-derived structural priors, constraint-consistent state transitions, and inference-time step-level process rewards is proposed, aimed at improving constraint-consistent reasoning on high-difficulty questions.
Tianyu Hong, Peng Wang, Wenjun Ke et al.
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