MAADBench: The Refreshable Paradigm for Anomaly Detection in Multi-Agent Systems

Lei Ma, Dennis Hofmann, Haowen Xu +4

Recent studies report that LLM-based multi-agent systems (MAS) fail at rates of 41%-87%, yet to our knowledge, no benchmark to date supports systematic anomaly detection (AD) for t…