Overview of AuTexTification at IberLEF 2023: Detection and Attribution
  of Machine-Generated Text in Multiple Domains
Areg Mikael Sarvazyan José Ángel González Marc Franco-Salvador Francisco Rangel Berta Chulvi Paolo Rosso
This paper presents the overview of the AuTexTification shared task as part
of the IberLEF 2023 Workshop in Iberian Languages Evaluation Forum, within the
framework of the SEPLN 2023 conference. AuTexTification consists of two
subtasks: for Subtask 1, participants had to determine whether a text is
human-authored or has been generated by a large language model. For Subtask 2,
participants had to attribute a machine-generated text to one of six different
text generation models. Our AuTexTification 2023 dataset contains more than
160.000 texts across two languages (English and Spanish) and five domains
(tweets, reviews, news, legal, and how-to articles). A total of 114 teams
signed up to participate, of which 36 sent 175 runs, and 20 of them sent their
working notes. In this overview, we present the AuTexTification dataset and
task, the submitted participating systems, and the results.