Reinforcement Pre-Training
arxiv:2506.08007
Data, training, optimization · 2025-06-09
Complete cleaned Markdown · Source Markdown including bibliography
Read in parts
Contents
- Reinforcement Pre-Training
- Abstract
- 1 Introduction
- 2 Preliminary
- Next-Token Prediction (NTP)
- Reinforcement Learning with Verifiable Rewards (RLVR)
- 3 Reinforcement Pre-Training
- 3.1 Pre-Training Task: Next-Token Reasoning
- 3.2 Pre-Training with Reinforcement Learning
- 3.3 Pre-Training Setup
- 3.4 Evaluation of Pretrained Models
- Language Modeling
- Reinforcement Fine-Tuning on Downstream Tasks
- 4 Experiments
- 4.1 Language Modeling
- 4.2 Scaling Properties of Reinforcement Pre-Training
- 4.3 Reinforcement Fine-Tuning with RPT
- 4.4 Zero-Shot Performance on End Tasks
- 4.5 Next-Token Reasoning Pattern Analysis
- 5 Related Work
- Scaling Paradigms of Large Language Models
- Reinforcement Learning for Large Language Models
- 6 Conclusion and Future Work
- Acknowledgement
- Appendix A Design Choices of Reward
- Appendix B Hyperparameters Used for Reinforcement Pre-Training
- Appendix C Detailed Results on End Tasks
- Appendix D Impact of Prompt Templates
- Appendix E Keywords for Reasoning Pattern Analysis
- Appendix F Case Studies
- Instructions for reporting errors