Article

Large Language Models Readability Classification: A Variability Analysis of Sources and Metrics

2026-03-02

Abstract excerpt

<h4> Abstract </h4> Accurate health information is ineffective if patients cannot understand it. Large Language Model (LLM) health research values veridical precision; however, linguistic accessibility remains an under-examined component of output quality and usability. This study investigated two sources of variability in readability classification: differences across LLM systems and across readability metrics....

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Literature Corpus work: db716fdf-31a9-5d72-aad6-9b8f94190812
DOI: 10.64898/2026.02.20.26346638

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