一作ACL 2026Poster· Natural Language Processing
Difficulty-Controllable Cloze Question Distractor Generation
Seokhoon Kang · Yejin Jeon · Seonjeong Hwang · Gary Lee
摘要
Multiple-choice cloze questions are commonly used to assess linguistic proficiency and comprehension. However, generating high-quality distractors remains challenging, as existing methods often lack adaptability and control over difficulty levels, and the absence of difficulty-annotated datasets...