Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey.
arXiv:2503.22458v3 Announce Type: replace-cross Abstract: This survey examines evaluation methods for large language model (LLM)-based agents in multi-turn conversational settings. Using a PRISMA-inspired framework, we systematically reviewed nearly 250 schola
arXiv cs.AIResearch source·