What is recorded here?
Combined asymmetric probability-ratio clipping, filtering of zero-advantage prompt groups and token-weighted policy optimization in an openly documented large-scale reasoning-model RL pipeline.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
PPO, GRPO and verl are inherited. The filtering changes the sampled prompt distribution; source-reported benchmark gains do not prove universal superiority or general safety. Thirty-five unique authors are taken from the explicitly designated Contributions author list, excluding acknowledgments.
Read the original work
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale
- Yu et al.: DAPO decoupled clipping and dynamic-sampling RL system — author/institution implementation
This English explanation is an editorial reading view. It does not replace the complete original work or certify its science.
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People and systems
Qiying Yu; Zheng Zhang; Ruofei Zhu; Yufeng Yuan; Xiaochen Zuo; Yu Yue; Tiantian Fan; Gaohong Liu; Lingjun Liu; Xin Liu; Haibin Lin; Zhiqi Lin; Bole Ma; Guangming Sheng; Yuxuan Tong; Chi Zhang; Mofan Zhang; Wang Zhang; Hang Zhu; Jinhua Zhu; Jiaze Chen; Jiangjie Chen; Chengyi Wang; Hongli Yu; Weinan Dai; Yuxuan Song; Xiangpeng Wei; Hao Zhou; Jingjing Liu; Wei-Ying Ma; Ya-Qin Zhang; Lin Yan; Mu Qiao; Yonghui Wu; Mingxuan Wang
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Research locations and affiliations
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English catalogue narrative
Yu et al.: DAPO decoupled clipping and dynamic-sampling RL system
Combined asymmetric probability-ratio clipping, filtering of zero-advantage prompt groups and token-weighted policy optimization in an openly documented large-scale reasoning-model RL pipeline.
Scientific scope
PPO, GRPO and verl are inherited. The filtering changes the sampled prompt distribution; source-reported benchmark gains do not prove universal superiority or general safety. Thirty-five unique authors are taken from the explicitly designated Contributions author list, excluding acknowledgments.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Qiying Yu; Zheng Zhang; Ruofei Zhu; Yufeng Yuan; Xiaochen Zuo; Yu Yue; Tiantian Fan; Gaohong Liu; Lingjun Liu; Xin Liu; Haibin Lin; Zhiqi Lin; Bole Ma; Guangming Sheng; Yuxuan Tong; Chi Zhang; Mofan Zhang; Wang Zhang; Hang Zhu; Jinhua Zhu; Jiaze Chen; Jiangjie Chen; Chengyi Wang; Hongli Yu; Weinan Dai; Yuxuan Song; Xiangpeng Wei; Hao Zhou; Jingjing Liu; Wei-Ying Ma; Ya-Qin Zhang; Lin Yan; Mu Qiao; Yonghui Wu; Mingxuan Wang
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.