On the Application of Large Language Models for Language Teaching and Assessment Technology
Article Status
Published
Authors/contributors
- Caines, Andrew (Author)
- Benedetto, Luca (Author)
- Taslimipoor, Shiva (Author)
- Davis, Christopher (Author)
- Gao, Yuan (Author)
- Andersen, Øistein (Author)
- Yuan, Zheng (Author)
- Elliott, Mark (Author)
- Moore, Russell (Author)
- Bryant, Christopher (Author)
- Rei, Marek (Author)
- Yannakoudakis, Helen (Author)
- Mullooly, Andrew (Author)
- Nicholls, Diane (Author)
- Buttery, Paula (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
On the Application of Large Language Models for Language Teaching and Assessment Technology
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
173-197
Series
CEUR Workshop Proceedings
Citation Key
caines2023
Accessed
13/10/2023, 23:51
ISSN
1613-0073
Language
en
Library Catalogue
CEUR Workshop Proceedings
Extra
tex.ids= cainesApplicationLargeLanguage2023a
<标题>: 大型语言模型在语言教学与评估技术中的应用
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:43.294Z
Citation
Caines, A., Benedetto, L., Taslimipoor, S., Davis, C., Gao, Y., Andersen, Ø., Yuan, Z., Elliott, M., Moore, R., Bryant, C., Rei, M., Yannakoudakis, H., Mullooly, A., Nicholls, D., & Buttery, P. (2023). On the Application of Large Language Models for Language Teaching and Assessment Technology. 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. 173–197). CEUR. https://ceur-ws.org/Vol-3487/#paper12
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