Pedagogically Aligned Objectives Create Reliable Automatic Cloze Tests

Brian Ondov1, Dina Demner-Fushman1, Kush Attal2

  • 1National Library of Medicine, Bethesda, MD, USA.

Proceedings of the Conference. Association for Computational Linguistics. North American Chapter. Meeting
|September 10, 2025
PubMed
Summary

This study introduces a new method for creating cloze test distractors, improving upon masked language models. The developed approach generates more reliable and valid educational assessments for human comprehension.

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