Papers by Digory Smith
PIIvot: A Lightweight NLP Anonymization Framework for Question-Anchored Tutoring Dialogues (2025.emnlp-main)
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| Challenge: | Understanding and improving affective learning strategies continues to be one of computing's primary contributions to education research. |
| Approach: | They propose a framework for PII anonymization that leverages knowledge of the data context to simplify the PI I detection problem. |
| Outcome: | The proposed framework simplifies the detection problem by leveraging knowledge of the data context. |
Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models (2024.findings-naacl)
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Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead, Nancy Ornelas, Andrew Lan
| Challenge: | Multiple-choice questions (MCQs) are easy to administer and grade . but crafting high-quality distractors remains labor-intensive and limited scalability . |
| Approach: | They propose to automate the generation of distractors in math MCQs by using large language models to generate distractors. |
| Outcome: | The proposed methods can generate valid distractors, but they are less adept at anticipating common errors or misconceptions among real students. |