The Unseen A+ Student: Evaluating the Performance and Detectability of Large Language Models in High School Assignments
Article Status
Published
Authors/contributors
- Boháček, Matyáš (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
The Unseen A+ Student: Evaluating the Performance and Detectability of Large Language Models in High School Assignments
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
89-100
Series
CEUR Workshop Proceedings
Language
en
Short Title
The Unseen A+ Student
Accessed
13/10/2023, 23:51
Library Catalogue
CEUR Workshop Proceedings
Extra
ISSN: 1613-0073
Citation
Boháček, M. (2023). The Unseen A+ Student: Evaluating the Performance and Detectability of Large Language Models in High School Assignments. 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. 89–100). CEUR. https://ceur-ws.org/Vol-3487/#paper5
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