multi-turn conversation is mainly divided into three steps: (1) Understanding the history of natural
language dialogue, (2) Deciding what action to take, and (3) Generating natural language responses.
LLM-based agents are capable of continuously refining outputs using existing information to conduct
multi-turn conversations and effectively achieve the ultimate goal [132; 147].
TheRiseandPotentialofLargeLanguageModel BasedAgents