Hallucination Rate
Also called: Hallucination Frequency, Hallucination Percentage
An evaluation metric that measures the proportion of an AI system's outputs that contain fabricated, unsupported, or factually incorrect information relative to a trusted reference, provided context, or authoritative source.
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Related terms
The process of identifying AI-generated outputs that contain fabricated, inaccurate, or unsupported information by comparing responses against trusted sources, retrieved context, or established facts before or after they are presented.
GroundednessAn evaluation metric that measures whether an AI system's output is supported by the provided context, retrieved information, or source material without introducing unsupported claims or hallucinations.
FaithfulnessAn evaluation metric that measures whether an AI system's output is fully supported by the provided input, retrieved context, or source material without introducing unsupported or fabricated information.
Reference-based EvaluationAn evaluation method that measures model output quality by comparing generated responses against ground-truth reference data or golden datasets.