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arXiv 2610.05966 · cs.CL · 2026-10-05

HuatuoGPT-3: RL-Only Domain Adaptation from Base Models

Junying Chen, Xinyuan Xie, Ziniu Li, Wenyuan Gu, Jianquan Li, Xiang Wan, Guangjun Yu, Ruoyu Sun and 2 more

Chinese University of Hong Kong, Shenzhen

In latest · #263 Added on 2026-10-26

One-line takeaway

HuatuoGPT-3 explores RL-only domain adaptation from base models, identifies two failure modes of mixed-policy RL (Gradient Starvation and Teacher-Distribution Anchoring), and proposes One-stage Policy Optimization (OnePO), which treats teacher outputs as transient guidance.

HuatuoGPT-3 探索只用强化学习做领域适配:指出混合策略 RL 的「梯度饥饿」和「教师分布锚定」两种失败模式,提出单阶段策略优化 OnePO,把教师输出当作临时引导。

48HF upvotes
28GitHub stars
0Citations (Semantic Scholar)
49.0Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

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