When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs

Ryo Kamoi, Yusen Zhang, Nan Zhang +2

Self-correction is an approach to improving responses from large language models (LLMs) by refining the responses using LLMs during inference. Prior work has proposed various self-…