GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human

Bibliographic Details
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
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