Large Language Models Reasoning Abilities Under Non-Ideal Conditions After RL-Fine-Tuning

Chang Tian, Matthew B. Blaschko, Mingzhe Xing +3

Reinforcement learning (RL) has become a key technique for enhancing the reasoning abilities of large language models (LLMs), with policy-gradient algorithms dominating the post-tr…