content. Post-editing is then used to reduce hallu-
cinations and enhance text quality without model
adjustment. Extensive experiments on text-to-text
datasets demonstrate effectiveness in both hallu-
cination detection and reduction. By formulating
detection as a chain of natural language inference
tasks, the framework incorporates sentence and
entity-level judgments with interpretability.
AComprehensiveSurveyofHallucinationMitigationTechniquesinLarge LanguageModels