Using LLM (Large Language Model) to Improve Efficiency in Literature Review for Undergraduate Research
Article Status
Published
Authors/contributors
- Antu, Shouvik Ahmed (Author)
- Chen, Haiyan (Author)
- Richards, Cindy K. (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
Using LLM (Large Language Model) to Improve Efficiency in Literature Review for Undergraduate Research
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
8-16
Series
CEUR Workshop Proceedings
Language
en
Accessed
13/10/2023, 23:51
Library Catalogue
CEUR Workshop Proceedings
Extra
ISSN: 1613-0073
Citation
Antu, S. A., Chen, H., & Richards, C. K. (2023). Using LLM (Large Language Model) to Improve Efficiency in Literature Review for Undergraduate Research. 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. 8–16). CEUR. https://ceur-ws.org/Vol-3487/#short2
Link to this record