GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866929725651288064 |
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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 Etter, Saad El Dine Ahmed El 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 |
| author_facet | 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 Etter, Saad El Dine Ahmed El 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 |
| contents | 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 26 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. https://github.com/mbzuai-nlp/COLING-2025-Workshop-on-MGT-Detection-Task1 |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2501_11012 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | 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 Su, Jinyan Ta, Minh Ngoc Abassy, Mervat Elozeiri, Kareem Ashraf Etter, Saad El Dine Ahmed El 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 Computation and Language 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 26 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. https://github.com/mbzuai-nlp/COLING-2025-Workshop-on-MGT-Detection-Task1 |
| title | GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2501.11012 |