AIBearisharXiv – CS AI · Jun 237/10
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How Much Coordination Gain Is Real? A Paired Noise-Floor Protocol for Multi-Agent LLM Benchmarks
A technical study challenges the validity of reported improvements in multi-agent LLM coordination architectures by establishing a noise-floor baseline using Claude Haiku. The research reveals that paired configuration-equivalent trials produce statistical gaps of ±5pp at best, suggesting that seven of ten recent coordination papers report headline effects within or below this noise floor, raising questions about reproducibility and the actual gains from proposed architectures.
🧠 Claude🧠 Haiku