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GenAI content detection task 1: English and multilingual machine-generated text detection: AI vs. human

Wang, Yuxia
; 
Shelmanov, Artem
; 
Mansurov, Jonibek
; 
Tsvigun, Akim
; 
Mikhailov, Vladislav
; 
Xing, Rui
; 
Xie, Zhuohan
; 
Geng, Jiahui
; 
Puccetti, Giovanni
; 
Artemova, Ekaterina
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Author
Wang, Yuxia
Shelmanov, Artem
Mansurov, Jonibek
Tsvigun, Akim
Mikhailov, Vladislav
Xing, Rui
Xie, Zhuohan
Geng, Jiahui
Puccetti, Giovanni
Artemova, Ekaterina
Su, Jinyan
Ta, Minh Ngoc
Abassy, Mervat
Elozeiri, Kareem Ashraf
El Etter, Saad El Dine Ahmed
Goloburda, Maiya
Mahmoud, Tarek
Tomar, Raj Vardhan
Laiyk, Nurkhan
Afzal, Osama Mohammed
Koike, Ryuto
Kaneko, Masahiro
Aji, Alham Fikri
Habash, Nizar
Gurevych, Iryna
Nakov, Preslav
Supervisor
Department
Natural Language Processing
Embargo End Date
Type
Workshop
Date
2025
License
Language
English
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Abstract
We present the GenAI Content Detection Task 1 – a shared task on binary machine generated text detection, conducted as a part of the GenAI workshop at COLING 2025. The task consists of two subtasks: Monolingual (English) and Multilingual. The shared task attracted many participants: 36 teams made official submissions to the Monolingual subtask during the test phase and 27 teams – to the Multilingual. We provide a comprehensive overview of the data, a summary of the results – including system rankings and performance scores – detailed descriptions of the participating systems, and an in-depth analysis of submissions.
Citation
Y. Wang et al., “GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human,” 2025. Accessed: Mar. 25, 2025. [Online]. Available: https://aclanthology.org/2025.genaidetect-1.27/
Source
Workshop on Language Models for Low-Resource Languages
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Publisher
International Conference on Computational Linguistics
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Additional links
https://aclanthology.org/2025.genaidetect-1.27/
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