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Xingzhi Yao

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Preprint Aug 2026

MedCalc-R1: Knowledge-Guided Reward Framework for Medical Mathematical Reasoning

Experimental results demonstrate that the proposed knowledge-guided hybrid reward framework significantly outperforms existing baselines in both reasoning accuracy and generalization capability, validating the effectiveness and applicability in safety-critical domains.

Hao-Tian Wang, Lian Yan, Xingzhi Yao et al. · 2 citations

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