Author

Xiaoyang Hao

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Preprint Aug 2026

RRC: Unlocking Generative Reward Models in LLM Reinforcement Learning via Ranking-Based Reward Construction

RRC introduces two complementary strategies: self-competitive ranking, which exploits comparisons among sampled responses, and anchor-guided ranking, which enables scalable ranking-based reward construction with a small set of reference responses.

Chenglong Wang, Ziming Zhu, Yifu Huo et al. · 2 citations