Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs

Zhenlan Ji, Daoyuan Wu, Pingchuan Ma +2

Agents based on large language models (LLMs) have demonstrated effectiveness in solving a wide range of tasks by integrating LLMs with key modules such as planning, memory, and too…