Hunter McNichols — accepted AI-conference papers

2024

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models

Wanyong Feng, Jaewook Lee, Hunter McNichols, Alexander Scarlatos, Digory Smith, Simon Woodhead +2

NAACL 2024findings

Multiple-choice questions (MCQs) are ubiquitous in almost all levels of education since they are easy to administer, grade, and are a reliable format in assessments and practices. One of the most important aspects of MCQs is the distractors, i.e., incorrect options that are designed to target common…

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2024

Exploring Automated Keyword Mnemonics Generation with Large Language Models via Overgenerate-and-Rank

Jaewook Lee, Hunter McNichols, Andrew Lan

EMNLP 2024finding

In this paper, we study an under-explored area of language and vocabulary learning: keyword mnemonics, a technique for memorizing vocabulary through memorable associations with a target word via a verbal cue. Typically, creating verbal cues requires extensive human effort and is quite time-consuming…

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