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Yi-Chen Wu

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#natural language process... Preprint Sep 2026

Rewarding Reasoning, Not Answers: Fixing and Bounding Test-Time Reinforcement Learning on Medical QA

Test-time reinforcement learning adapts a model on its own unlabeled test set using majority-vote pseudo-labels and has shown strong results in mathematics. We show that this recipe collapses on medical multiple-choice QA: accuracy stagnates while output diversity rapidly declines. Through a controlled experiment that...

Kai-Long Fan, An-Qi Pu, Yi-Chen Wu et al. · 0 citations
Open access Jul 2026

Interpretable agentic AI system with localized reasoning for radiology.

Medical AI has produced many radiology models, particularly for chest X-rays (CXR), each excelling at isolated tasks like lesion detection or report generation. However, these models have disparate capabilities and limited generalizability due to training on restricted datasets, making clinical integration challenging....

Wenting Chen, Yi Dong, Zhaojun Ding et al. · 2 citations

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