Title: |
GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human |
Authors: |
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 |
Source: |
Proceedings of the 1stWorkshop on GenAI Content Detection (GenAIDetect) in COLING 2025 |
Publication Year: |
2025 |
Collection: |
Computer Science |
Subject Terms: |
Computer Science - Computation and Language |
More Details: |
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 Comment: 18 pages |
Document Type: |
Working Paper |
Access URL: |
http://arxiv.org/abs/2501.11012 |
Accession Number: |
edsarx.2501.11012 |
Database: |
arXiv |