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Shasta Ihorn

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#artificial intelligence Preprint Feb 2026

Toward Scalable Audio Description Quality Control: A Workflow for Evaluating Human and VLM Raters

This work developed a methodological workflow using Item Response Theory to evaluate VLM and human rater proficiency against expert-established ground truth, suggesting that top-performing VLMs can approximate ground-truth ratings at levels comparable to human raters.

Lana Do, Gio Jung, J. F. Barajas et al. · 0 citations

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