GenAI Content Detection Task 1: English and Multilingual Machine-Generated Text Detection: AI vs. Human
This addresses the problem of distinguishing AI-generated content from human-written text for researchers and practitioners, but it is incremental as it builds on existing detection challenges.
The paper introduced a shared task for detecting machine-generated text in English and multiple languages, attracting 36 teams for the monolingual subtask and 26 for the multilingual one, with results including system rankings and performance scores.
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