AI RESEARCH
Colosseum: Auditing Collusion in Cooperative Multi-Agent Systems
arXiv CS.AI
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ArXi:2602.15198v2 Announce Type: replace-cross Multi-agent systems, where LLM agents communicate through free-form language, enable sophisticated coordination for solving complex cooperative tasks. This surfaces a unique safety problem when a group of agents forms a coalition and colludes to pursue secondary goals and degrade the joint objective. In this paper, we present Colosseum, a framework for auditing LLM agents' collusive behavior in multi-agent settings.