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ENTITY Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels

Nine Judges, Two Effective Votes: Correlated Errors Undermine LLM Evaluation Panels

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  1. TOOL · CL_107122 ·

    Apple research: LLM judges suffer from correlated errors, reducing evaluation effectiveness

    A new paper from Apple Machine Learning Research reveals that using multiple Large Language Models (LLMs) as judges for evaluation panels is less effective than expected due to correlated errors. The study found that a …