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Glossary

LLM-as-judge: definition, math and practical numbers

LLM-as-judge uses a language model to grade other models’ outputs against a rubric. It scales evaluation cheaply, but its errors bias results unless calibrated against human labels.

Definition#

An LLM judge scores outputs pass/fail or on a scale, or compares two outputs pairwise. Zheng et al. (2023) documented systematic judge biases, including preference for the first-presented answer, for longer answers and for outputs resembling the judge’s own.

Treat a judge like a diagnostic test with sensitivity and specificity . The pass rate it reports is , so measured differences between models shrink by Youden’s . In our simulation, a judge with reported a real 5-point gain as 3.1 points, and the naive interval covered the truth only 72% of the time. The Rogan–Gladen estimator corrects this using a human-labelled calibration set (full analysis).

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