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TopicsLLM-as-a-Judge Large language models AI Capability Evaluation

Voting and deliberation among multiple LLM judges do not significantly improve group accuracy as panel size increases.

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https://arxiv.org/html/2610.28539 Untraced · nothing upstream recorded

Among multi-judge protocols, weighted voting produces the highest accuracy for human supervisors (45.8% to 65.3%, p=.028), whereas for LLMs none of them significantly improves group accuracy, even as the number of judges increases.

https://arxiv.org/html/2610.28539extraction 0.70

Abstract; voting and deliberation panels of 3 or 7 LLM judges.

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