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Glossary · Measurement and evaluation

Pairwise evaluation

Comparing two outputs and choosing the better one.

What Pairwise evaluation does not show

It is often easier than absolute scoring but does not show whether either output meets a minimum standard.

Related terms in Measurement and evaluation

How a measurement earns trust: evaluation sets, error rates, calibration, reproducibility, and the biases that make a number look better than it is.

AI answer reading · name confusion · hedged answer · Benchmark · Evaluation set · Golden dataset · Ground truth · Human evaluation · LLM-as-judge · Pointwise evaluation · Rubric · Inter-rater agreement · Accuracy · F1 score · False positive rate · False negative · True positive · True negative · Calibration · Confidence score · Coverage · Abstention · Reproducibility · Repeatability · Variance · Confidence interval · Sample size · Sampling bias · Selection bias · Survivorship bias · Data leakage · Test contamination

Questions about Pairwise evaluation

What is Pairwise evaluation?

Comparing two outputs and choosing the better one.

What does Pairwise evaluation not show or guarantee?

It is often easier than absolute scoring but does not show whether either output meets a minimum standard.

Which area of the glossary does Pairwise evaluation belong to?

Measurement and evaluation: How a measurement earns trust: evaluation sets, error rates, calibration, reproducibility, and the biases that make a number look better than it is.

← LLM-as-judge  ·  Pointwise evaluation →

See it in the full glossary · 772 terms across 19 areas.

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