Interplay-LM-Reasoning/context
On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models Charlie Zhang, Graham Neubig, Xiang Yue Carnegie Mellon University, Language Technologies Institute Does Reinforcement Learning Truly Extend Reasoning? This work explores the discrepancy in views on RL's effectiveness in extending language models' reasoning abilities. Some characterize RL as a capability refiner, while others see it as inducing new compositional skills. This… See the full description on the dataset page: https://huggingface.co/datasets/Interplay-LM-Reasoning/context.
| Author / organization | Interplay-LM-Reasoning |
|---|---|
| License (as declared) | mit |
| Downloads | 434 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 10 December 2025 |
| Last updated at source | 26 January 2026 |
Recent changes
- 16 Oct 2026 Description: On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models Charlie Zhang, Graham Neubig, Xiang Yue Carnegie Mellon University, Language Technologies Institute Does Reinforcement Learning Truly Extend Reasoning? This → On the Interplay of Pre-Training, Mid-Training, and RL on Reasoning Language Models Charlie Zhang, Graham Neubig, Xiang Yue Carnegie Mellon University, Language Technologies Institute Does Reinforcement Learning Truly Extend Reasoning? This
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