Источник
NAACL / SemEval
Дата публикации
22.04.2024
Авторы
Yuxia Wang Джонибек Мансуров Petar Ivanov Jinyan Su Артем Шелманов Аким Цвигун Chenxi Whitehouse Osama Mohammed Afzal Tarek Mahmoud Giovanni Puccetti Thomas Arnold Alham Fikri Aji Nizar Habash Ирина Гуревич Preslav Nakov
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Semeval-2024 task 8: Multigenerator, multidomain, and multilingual black-box machine-generated text detection

Аннотация

We present the results and the main findings of SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. The task featured three subtasks. Subtask A is a binary classification task determining whether a text is written by a human or generated by a machine. This subtask has two tracks: a monolingual track focused solely on English texts and a multilingual track. Subtask B is to detect the exact source of a text, discerning whether it is written by a human or generated by a specific LLM. Subtask C aims to identify the changing point within a text, at which the authorship transitions from human to machine. The task attracted a large number of participants: subtask A monolingual (126), subtask A multilingual (59), subtask B (70), and subtask C (30). In this paper, we present the task, analyze the results, and discuss the system submissions and the methods they used. For all subtasks, the best systems used LLMs.

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