3 papers
cs.CL2026
Beyond Fine-Tuning: In-Context Learning and Chain-of-Thought for Reasoned Distractor Generation
Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang
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…
cs.DC2025
Electricity Cost Minimization for Multi-Workflow Allocation in Geo-Distributed Data Centers
Shuang Wang, He Zhang, Tianxing Wu +3
Worldwide, Geo-distributed Data Centers (GDCs) provide computing and storage services for massive workflow applications, resulting in high electricity costs that vary depending on…
cs.CL2024
Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation
Elaf Alhazmi, Quan Z. Sheng, Wei Emma Zhang +2
The distractor generation task focuses on generating incorrect but plausible options for objective questions such as fill-in-the-blank and multiple-choice questions. This task is w…