| Automated distractor and feedback generation for math multiple-choice questions via in-context learning H McNichols, W Feng, J Lee, A Scarlatos, D Smith, S Woodhead, A Lan arXiv preprint arXiv:2308.03234, 2023 | 28* | 2023 |
| Exploring automated distractor generation for math multiple-choice questions via large language models W Feng, J Lee, H McNichols, A Scarlatos, D Smith, S Woodhead, ... arXiv preprint arXiv:2404.02124, 2024 | 17 | 2024 |
| Balancing test accuracy and security in computerized adaptive testing W Feng, A Ghosh, S Sireci, AS Lan International Conference on Artificial Intelligence in Education, 708-713, 2023 | 8 | 2023 |
| DiVERT: Distractor Generation with Variational Errors Represented as Text for Math Multiple-choice Questions N Fernandez, A Scarlatos, W Feng, S Woodhead, A Lan arXiv preprint arXiv:2406.19356, 2024 | 6 | 2024 |
| Improving Automated Distractor Generation for Math Multiple-choice Questions with Overgenerate-and-rank A Scarlatos, W Feng, D Smith, S Woodhead, A Lan arXiv preprint arXiv:2405.05144, 2024 | 3 | 2024 |
| A conceptual model for end-to-end causal discovery in knowledge tracing NA Kumar, W Feng, J Lee, H McNichols, A Ghosh, A Lan arXiv preprint arXiv:2305.16165, 2023 | 3 | 2023 |
| Fully data-driven computerized adaptive testing A Ghosh, W Feng, S Sireci, A Lan, H Jiao, RW Lissitz Machine learning, natural language processing and psychometrics, 159-176, 2024 | 2 | 2024 |
| Reasoning and Sampling-Augmented MCQ Difficulty Prediction via LLMs W Feng, P Tran, S Sireci, A Lan arXiv preprint arXiv:2503.08551, 2025 | | 2025 |
| From Text to Visuals: Using LLMs to Generate Math Diagrams with Vector Graphics J Lee, J Lee, W Feng, A Lan arXiv preprint arXiv:2503.07429, 2025 | | 2025 |
