LLM agents with personality anchoring from characters show dyadic agreeableness composition monotonically predicts shared goal achievement across 1010 simulated conversations, with homogeneous-agreeable pairs at 62% success versus 6% for homogeneous-disagreeable pairs.
InFindings of the Association for Computational Linguistics: ACL 2024, pages 2108–2126, Bangkok, Thailand
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Personality Anchoring for Social Simulation: Linking Personality, Social Behavior, and Interaction Success with LLM Agents
LLM agents with personality anchoring from characters show dyadic agreeableness composition monotonically predicts shared goal achievement across 1010 simulated conversations, with homogeneous-agreeable pairs at 62% success versus 6% for homogeneous-disagreeable pairs.