Shao et al. (2025) found that even weak or random reward signals can significantly improve mathematical reasoning in Large Language Models because Reinforcement Learning activates valid reasoning modes, such as code-based reasoning, already present in the pre-trained model.

Authors

• Person: Not available Organization: arXiv
  A Survey on the Theory and Mechanism of Large Language Models

Sources

• A Survey on the Theory and Mechanism of Large Language Models arxiv.org arXiv via serper

Referenced by nodes (2)

• Large Language Models concept
• reinforcement learning concept