Reasoning & Test-Time Compute · 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Qiying Yu, Mingxuan Wang

Fully open-sources a large-scale RLVR system and names four techniques (decoupled clipping, dynamic sampling, token-level loss, overlong-reward shaping) that make reproducible reasoning-RL training work.

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Fully open-sources a large-scale RLVR system and names four techniques (decoupled clipping, dynamic sampling, token-level loss, overlong-reward shaping) that make reproducible reasoning-RL training work.

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Record ID
P-641
Record created
2026-07-13
Last reviewed
2026-07-14
Record version
2

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