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Jiangyuan Chen

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#artificial intelligence Preprint Aug 2026

MedAgent-R1: Faithfulness-Aware Reinforcement Learning for Evidence-Grounded Medical Reasoning

This work identifies a systematic failure mode in RL-trained retrieval agents: outcome-only rewards improve accuracy while degrading faithfulness, a phenomenon the authors term confident hallucination, and addresses this with a faithfulness-gated reward design.

Jiangyuan Chen, Cheng-Hao Zhang, Hengxing Cai · 0 citations

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