LLM-based Agents Suffer from Hallucinations: A Survey of Taxonomy, Methods, and Directions

Xixun Lin, Yucheng Ning, Jingwen Zhang +21

Driven by the rapid advancements of Large Language Models (LLMs), LLM-based agents have emerged as powerful intelligent systems capable of human-like cognition, reasoning, and inte…