Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment. - Yanshi Li; Shaopan Xiong; Gengru Chen; Xiaoyang Li; Yijia Luo; Xingyao Zhang; Yanhui Huang; Xingyuan Bu; Yingshui Tan; Chun Yuan; Jiamang Wang; Wenbo Su; et al. (CoRR, 2024)

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library. - Weixun Wang; Shaopan Xiong; Gengru Chen; Wei Gao; Sheng Guo 005; Yancheng He; Ju Huang; Jiaheng Liu; Zhendong Li; Xiaoyang Li; Zichen Liu; Haizhou Zhao; et al. (CoRR, 2025)

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning. - Zihe Liu; Jiashun Liu; Yancheng He; Weixun Wang; Jiaheng Liu; Ling Pan; Xinyu Hu; Shaopan Xiong; Ju Huang; Jian Hu; Shengyi Huang; Siran Yang; et al. (CoRR, 2025)