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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

It is shown that the minimum aggregation is essential: mean aggregation can be exploited, saturating the proxy reward while degrading accuracy, and the minimum aggregation is essential for PROSE, Process Reward Guided Self-Training.

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.

RadFabric is presented, an agentic AI system that orchestrates fourteen specialized open-source CXR analytics models and two Vision-Language Models through a modular protocol that enables explainable, robust diagnoses across common and rare pathologies while facilitating extensibility through additional agents.

Wenting Chen, Yi Dong, Zhaojun Ding et al. · 3 citations

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