Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection: Extended Abstract
Bevendorff, Janek Dementieva, Daryna Frobe, Maik Gipp, Bela Greiner-Petter, Andre Karlgren, Jussi Mayerl, Maximilian Nakov, Preslav Panchenko, Alexander Potthast, Martin
Bevendorff, Janek
Dementieva, Daryna
Frobe, Maik
Gipp, Bela
Greiner-Petter, Andre
Karlgren, Jussi
Mayerl, Maximilian
Nakov, Preslav
Panchenko, Alexander
Potthast, Martin
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Department
Natural Language Processing
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Type
Conference proceeding
Date
2025
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Language
English
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Abstract
The paper gives a brief overview of the four shared tasks organized at the PAN 2025 lab on digital text forensics and stylometry to be hosted at CLEF 2025. The goal of the PAN lab is to advance the state-of-the-art in text forensics and stylometry through an objective evaluation of new and established methods on new benchmark datasets. Our three tasks in 2025 will be: (1) generative AI detection, particularly in mixed and obfuscated authorship scenarios, (2) multilingual text detoxification, a continued task that aims re-formulate text in a non-toxic way for multiple languages, and (3) multi-author writing style analysis, a continued task that aims to find positions of authorship change., and(4) generative plagiarism detection, a new task that targets source retrieval and text alignment between generated text and source documents. As with the previous editions, PAN invites software submissions as easy-to-reproduce docker containers, more than 400 pieces of software have been submitted from PAN’12 through PAN’24 combined, with all recent evaluations running on the TIRA experimentation platform [11].
Citation
F. Alam et al., “The CLEF-2025 CheckThat! Lab: Subjectivity, Fact-Checking, Claim Normalization, and Retrieval,” Lecture Notes in Computer Science, vol. 15576 LNCS, pp. 467–478, 2025, doi: 10.1007/978-3-031-88720-8_68/TABLES/3.
Source
Lecture Notes in Computer Science
Conference
47th European Conference on Information Retrieval, ECIR 2025
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Source
47th European Conference on Information Retrieval, ECIR 2025
Publisher
Springer Nature