Liu et al. (2025d) demonstrated that with sufficient training duration and periodic policy resets, Reinforcement Learning can drive Large Language Models to explore novel strategies absent in the base model, thereby expanding the reasoning boundary.

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