Reflective Recovery: A Self-Supervised Method for Reasoning by Learning from Mistakes

Qirui Chen, Renjie Pi, Jiahui Gao +1

Data-driven fine-tuning is widely adopted to enhance reasoning in Large Language Models (LLMs) due to its simplicity and efficiency. However, mainstream imitation learning methods…