I recently published a research paper titled Self-Reflection in LLM Agents: Effects on Problem-Solving Performance.
It discusses how agents built on large language models (LLMs) are able to reflect on their own chain of thought (CoT) to improve their performance on problem-solving tasks.
A pre-print version of the paper is now available on arXiv at: https://arxiv.org/abs/2405.06682