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
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
    173-197
Series
    CEUR Workshop Proceedings
Language
    en
Accessed
    13/10/2023, 23:51
Library Catalogue
    CEUR Workshop Proceedings
Extra
    tex.ids= cainesApplicationLargeLanguage2023a
ISSN: 1613-0073
Citation Key: caines2023
<标题>: 大型语言模型在语言教学与评估技术中的应用
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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