A Case Study using Large Language Models to Generate Metadata for Math Questions
Article Status
Published
Authors/contributors
- Bainbridge, Katie (Author)
- Walkington, Candace (Author)
- Ibrahim, Armon (Author)
- Zhong, Iris (Author)
- Mallick, Debshila Basu (Author)
- Washington, Julianna (Author)
- Baraniuk, Rich (Author)
- Moore, Steven (Editor)
- Stamper, John (Editor)
- Tong, Richard (Editor)
- Cao, Chen (Editor)
- Liu, Zitao (Editor)
- Hu, Xiangen (Editor)
- Lu, Yu (Editor)
- Liang, Joleen (Editor)
- Khosravi, Hassan (Editor)
- Denny, Paul (Editor)
- Singh, Anjali (Editor)
- Brooks, Chris (Editor)
Title
A Case Study using Large Language Models to Generate Metadata for Math Questions
Date
2023-07-07
Proceedings Title
Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023
Conference Name
Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023
Place
Tokyo, Japan
Publisher
CEUR
Volume
3487
Pages
34-42
Series
CEUR Workshop Proceedings
Language
en
Accessed
13/10/2023, 23:51
Library Catalogue
CEUR Workshop Proceedings
Extra
ISSN: 1613-0073
Citation
Bainbridge, K., Walkington, C., Ibrahim, A., Zhong, I., Mallick, D. B., Washington, J., & Baraniuk, R. (2023). A Case Study using Large Language Models to Generate Metadata for Math Questions. In S. Moore, J. Stamper, R. Tong, C. Cao, Z. Liu, X. Hu, Y. Lu, J. Liang, H. Khosravi, P. Denny, A. Singh, & C. Brooks (Eds.), Proceedings of the Workshop on Empowering Education with LLMs - the Next-Gen Interface and Content Generation 2023 (Vol. 3487, pp. 34–42). CEUR. https://ceur-ws.org/Vol-3487/#short5
Empirical studies
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