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.
Zhehan Jiang, Tianpeng Zheng, Jiayi Liu et al.
· npj Digital Medicine · 0 citations