Papers by Neil Heffernan
DrawEduMath: Evaluating Vision Language Models with Expert-Annotated Students’ Hand-Drawn Math Images (2025.naacl-long)
Copied to clipboard
| Challenge: | DrawEduMath examines the ability of vision language models to handle real-world math problems, such as those encountered in classrooms and tutoring sessions. |
| Approach: | They present DrawEduMath, an English-language dataset of 2,030 images of students’ handwritten responses to math problems. |
| Outcome: | The proposed model can be used to evaluate teachers' QA pairs and 44,362 synthetic QAs derived from teachers' descriptions. |