AR
arXiv CS.AI
6/29/2026

When Does Personality Composition Matter for Multi-Agent LLM Teams?
Short summary
Researchers test how personality prompting affects multi-agent LLM team performance across coding, collaboration, and bargaining tasks. Personality composition impacts vary by task type—minimal effect in coding but substantial performance degradation in collaborative and competitive scenarios. Key insight for multi-agent system architecture decisions.
- •Personality composition effects on multi-agent performance depend critically on task structure
- •Low agreeableness shifts communication style in coding with negligible performance impact
- •Same personality manipulation substantially degrades performance in collaboration and bargaining
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