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
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
Publisher
CEUR
Place
Tokyo, Japan
Date
2023-07-07
Volume
3487
Pages
34-42
Series
CEUR Workshop Proceedings
Citation Key
bainbridge2023
Accessed
13/10/2023, 23:51
ISSN
1613-0073
Language
en
Library Catalogue
CEUR Workshop Proceedings
Extra
<标题>: 使用大型语言模型为数学题生成元数据的案例研究
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:43.294Z
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
Link to this record