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
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
8-16
Series
CEUR Workshop Proceedings
Citation Key
antu2023
Accessed
13/10/2023, 23:51
ISSN
1613-0073
Language
en
Library Catalogue
CEUR Workshop Proceedings
Extra
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:20.824Z
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
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