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Yi-Tong Qiao

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#artificial intelligence Preprint Sep 2026

From Imitation to Reward Discovery: On-Policy Warmup for Agentic RL

Reinforcement learning with a verifiable reward (RLVR) offers a scalable approach to training language-model agents, yet sparse outcome rewards can leave early training with little signal for policy improvement. We identify an On-Policy Acceleration Phenomenon: in our main comparisons, RLVR initialized with on-policy d...

Yi-Tong Qiao, Tian-Tian He, Lei Liu et al. · 0 citations
#natural language process... Preprint Sep 2026

Can LLMs Value the Right Evidence? Evidence-Value Misalignment in Dynamic Medical Diagnosis

A correct diagnosis reached from insufficient or misleading evidence can pose a clinical hazard, yet outcome-based accuracy may reward such lucky guesses. We call this mismatch between diagnostic decisions and the value of available evidence Evidence-Value Misalignment (EVM). To disentangle evidential grounding indepen...

Ke-Hua Feng, Yun-Sheng Lu, Yi-Tong Qiao et al. · 0 citations

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