The authors create the first large-scale dataset and taxonomy of failure modes in multi-agent LLM systems to explain their limited performance gains.
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AMA is a multi-agent system that dynamically manages memory granularity and enforces consistency for LLM agents, achieving better performance on long-context tasks with 80% less token consumption.
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Why Do Multi-Agent LLM Systems Fail?
The authors create the first large-scale dataset and taxonomy of failure modes in multi-agent LLM systems to explain their limited performance gains.