Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint

Zhipeng Chen, Kun Zhou, Wayne Xin Zhao +4

Reinforcement learning (RL) has been widely used in training large language models (LLMs) for preventing unexpected outputs, eg reducing harmfulness and errors. However, existing R…