Metric Match: A Subset Selection Approach to Evaluating LLM Judge Reliability

In three linesMetric Match is a method to evaluate LLM judge reliability with fewer human annotations. It selects a subset of samples whose synthetic labels match population reliability metrics. Across 15 datasets, it reduces estimation error by 18.7% and annotation needs by 32.5%, saving $1,041.67 in a medical case study.

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