Pointwise Evaluation

An evaluation method that compares two outputs directly to determine which performs better against a defined criterion or preference.

An evaluation method that measures model output quality by comparing generated responses against ground-truth reference data or golden datasets.

An evaluation approach that assesses model output quality without relying on ground-truth reference answers or golden datasets.

An evaluation approach that assesses AI outputs against structured, criteria-specific scoring rubrics.

An evaluation method in which human reviewers assess the quality of AI system outputs against defined criteria such as correctness, relevance, helpfulness, safety, or fluency, providing judgments that complement or validate automated evaluation metrics.