Open access
Aug 2026
Transfer learning for text-based distractor selection rate prediction in medical multiple-choice questions: fine-tuning embedding models as a plausibility proxy
The technical feasibility of text-based distractor selection rate prediction is established and the performance landscape across model categories is characterized, with potential application scenarios requiring future validation.
Zhe-Han Jiang, Tian-Peng Zheng, Jia-Yi Liu et al.
· npj Digital Medicine · 0 citations