{"total":23,"rows":[{"id":"2503.05142","title":"RocketEval: Efficient Automated LLM Evaluation via Grading Checklist","created":"2025-03-07","cited_by_count":39,"area":null},{"id":"2202.06588","title":"Conditional Generation Net for Medication Recommendation","created":"2022-02-14","cited_by_count":30,"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":"2308.03234","title":"Automated Distractor and Feedback Generation for Math Multiple-choice Questions via In-context Learning","created":"2023-08-07","cited_by_count":24,"area":null},{"id":"2404.02124","title":"Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models","created":"2024-04-02","cited_by_count":15,"area":null},{"id":"2112.11739","title":"A Survey of Natural Language Generation","created":"2021-12-22","cited_by_count":13,"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":"2405.05144","title":"Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank","created":"2024-04-19","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":"2109.11087","title":"BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles","created":"2021-09-23","cited_by_count":10,"area":null},{"id":"2501.13125","title":"Generating Plausible Distractors for Multiple-Choice Questions via Student Choice Prediction","created":"2025-01-21","cited_by_count":8,"area":null},{"id":"2406.19356","title":"DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions","created":"2024-06-27","cited_by_count":7,"area":null},{"id":"2409.18263","title":"DisGeM: Distractor Generation for Multiple Choice Questions with Span Masking","created":"2024-09-26","cited_by_count":5,"area":null},{"id":"2406.13188","title":"Synthetic Context Generation for Question Generation","created":"2024-06-19","cited_by_count":4,"area":null},{"id":"2311.04554","title":"Assessing Distractors in Multiple-Choice Tests","created":"2023-11-08","cited_by_count":3,"area":null},{"id":"2401.07518","title":"Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends","created":"2024-01-15","cited_by_count":3,"area":null},{"id":"2204.04397","title":"Denoising Neural Network for News Recommendation with Positive and Negative Implicit Feedback","created":"2022-04-09","cited_by_count":2,"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":"2403.01456","title":"Controlling Cloze-test Question Item Difficulty with PLM-based Surrogate Models for IRT Assessment","created":"2024-03-03","cited_by_count":1,"area":null},{"id":"2406.03397","title":"Automating Turkish Educational Quiz Generation Using Large Language Models","created":"2024-06-05","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":"2510.15134","title":"FarsiMCQGen: a Persian Multiple-choice Question Generation Framework","created":"2025-10-16","cited_by_count":0,"area":null}],"next_cursor":null}