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Updated: Feb 13, 2026

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MCQG-SRefine:多选题生成和评估与代自我批评,纠正和比较反

Zonghai Yao1, Aditya Parashar1, Huixue Zhou2

  • 1University of Massachusetts, Amherst.

Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting
|February 12, 2026
PubMed
概括

本研究介绍了MCQG-SRefine,这是一种使用大型语言模型 (LLM) 来生成高质量的多选择题 (MCQG) 的新型框架,用于医疗执照考试. 该方法改善了问题质量和难度评估.

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