AIBearisharXiv – CS AI · Jun 17/10
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Multi-Agent Teams Hold Experts Back
A new research paper reveals that self-organizing multi-agent LLM teams significantly underperform compared to their best individual expert members, with performance losses reaching 41.1% on ML benchmarks. The primary failure mechanism is not identifying experts but rather failing to leverage them appropriately, as teams tend toward consensus-averaging rather than expertise-weighted decision-making.