Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation
arXiv:2604.17574v1 Announce Type: new
Abstract: Distractor generation (DG) remains a labor-intensive task that still significantly depends on domain experts. The task focuses on generating plausible yet incorrect options, known as distractors, for mul…