Author

Shaoting Zhang

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Preprint Jul 2026

Reinforcement Learning for Evidence-Seeking Diagnostic Reasoning with Large Language Models

Empirical results demonstrate that the Reinforcement Learning with Verifiable Rewards framework enables LLMs to transition from passive responders to autonomous assistants, and demonstrates comparable performance to larger and reasoning-enhanced baselines, while RAGES proves superior to vanilla LLMs in generating biologically plausible clinical feedback.

Shengyi Hua, Kangzhe Hu, Conghui He et al. · 1 citation

Preprint Jul 2026

RareLens: Towards End-to-End Rare Disease Care via Aligning Divergent Large Language Model Reasoning

Autonomous RareLens and physicians assisted by RareLens both outperformed unaided physicians, while demonstrating that effective human-AI collaboration requires more than simply providing model outputs, and suggest a general strategy for building AI systems that operate reliably under high clinical uncertainty.

Xi Chen, Hongru Zhou, Shiyu Feng et al. · 0 citations