Training & fine-tuning
DAPO: An Open-Source LLM Reinforcement Learning System at Scale
Documents an openly released reinforcement-learning system and policy-optimization recipe for reasoning-model training.
Discovered 2026-10-21 · Sources checked 2026-10-21
This summary was generated with AI assistance.
Why it matters
Helps researchers examine and reproduce reasoning post-training workflows.
What changed
Exposes training-system details alongside the proposed policy-optimization method.
Where it helps
- Reinforcement-learning post-training
- Reasoning-training reproducibility
Evidence & reproduction
Reproduction not evaluated. A linked paper or repository does not establish independent reproduction.
Limitations & open questions
Pub-AI has not independently evaluated this method. Consult the linked sources for their evaluation setup and limitations.
Sources
- DAPO: An Open-Source LLM Reinforcement Learning System at Scale ↗
arXiv · primary · Published 2025-03-18 · Checked 2026-10-21