LLMR: Knowledge Distillation with a Large Language Model-Induced Reward
LLMR is a new knowledge distillation method that uses a large language model to create a reward function for training smaller student models. By inducing this reward using reinforcement learning principles, LLMR overcomes common issues like exposure bias, leading to better performance in dialogue generation and summarization tasks compared to traditional methods.