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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·