{"total":14,"rows":[{"id":"2312.03173","title":"A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education","created":"2023-12-05","cited_by_count":35,"area":null},{"id":"2402.01512","title":"Distractor Generation in Multiple-Choice Tasks: A Survey of Methods, Datasets, and Evaluation","created":"2024-02-02","cited_by_count":25,"area":null},{"id":"2110.08555","title":"On the Robustness of Reading Comprehension Models to Entity Renaming","created":"2021-10-16","cited_by_count":17,"area":null},{"id":"2307.16338","title":"Distractor generation for multiple-choice questions with predictive prompting and large language models","created":"2023-07-30","cited_by_count":15,"area":null},{"id":"2108.03973","title":"BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset","created":"2021-08-09","cited_by_count":12,"area":null},{"id":"2406.01306","title":"Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding","created":"2024-06-03","cited_by_count":11,"area":null},{"id":"2304.04881","title":"DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach","created":"2023-04-10","cited_by_count":1,"area":null},{"id":"2504.13439","title":"D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model","created":"2025-04-18","cited_by_count":1,"area":null},{"id":"2305.08433","title":"EMBRACE: Evaluation and Modifications for Boosting RACE","created":"2023-05-15","cited_by_count":0,"area":null},{"id":"2309.05103","title":"AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions","created":"2023-09-10","cited_by_count":0,"area":null},{"id":"2405.19139","title":"DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension","created":"2024-05-29","cited_by_count":0,"area":null},{"id":"2505.02850","title":"Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors","created":"2025-05-02","cited_by_count":0,"area":null},{"id":"2506.15598","title":"From Model to Classroom: Evaluating Generated MCQs for Portuguese with Narrative and Difficulty Concerns","created":"2025-06-18","cited_by_count":0,"area":null},{"id":"2510.15134","title":"FarsiMCQGen: a Persian Multiple-choice Question Generation Framework","created":"2025-10-16","cited_by_count":0,"area":null}],"next_cursor":null}