Kish effective sample size

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 …