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
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
89-100
Series
CEUR Workshop Proceedings
Citation Key
bohacek2023
Accessed
13/10/2023, 23:51
ISSN
1613-0073
Short Title
The Unseen A+ Student
Language
en
Library Catalogue
CEUR Workshop Proceedings
Extra
Read_Status: New
Read_Status_Date: 2026-01-26T11:33:20.825Z
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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