Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-Author Writing Style Analysis, and Generative Plagiarism Detection
Аннотация
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-ofthe-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: generative AI detection, particularly in mixed and obfuscated authorship scenarios, multilingual text detoxification, a continued task that aims re-formulate text in a non-toxic way for multiple languages, and multi-author writing style analysis, a continued task that aims to find positions of authorship change., and 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 easyto-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.
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