AIBullisharXiv – CS AI · Apr 67/10
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Improving Role Consistency in Multi-Agent Collaboration via Quantitative Role Clarity
Researchers developed a quantitative method to improve role consistency in multi-agent AI systems by introducing a role clarity matrix that measures alignment between agents' assigned roles and their actual behavior. The approach significantly reduced role overstepping rates from 46.4% to 8.4% in Qwen models and from 43.4% to 0.2% in Llama models during ChatDev system experiments.
🧠 Llama