AIBearisharXiv – CS AI · 6h ago7/10
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Contagion Networks: Evaluator Bias Propagation in Multi-Agent LLM Systems
Researchers demonstrate that evaluation biases in large language models systematically spread through multi-agent systems, with a new framework showing biases propagate at rates of 15.7-35.2% between same-model agents. Deploying evaluation committees of three agents reduces contagion by 72.4%, offering a practical mitigation strategy for AI systems relying on LLM evaluators.