AI RESEARCH
Improving Role Consistency in Multi-Agent Collaboration via Quantitative Role Clarity
arXiv CS.AI
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ArXi:2604.02770v1 Announce Type: new In large language model (LLM)-driven multi-agent systems, disobey role specification (failure to adhere to the defined responsibilities and constraints of an assigned role, potentially leading to an agent behaving like another) is a major failure mode \cite{DBLP:journals/corr/abs-2503-13657}. To address this issue, in the present paper, we propose a quantitative role clarity to improve role consistency.