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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. In 2025, we organized four shared tasks: (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. PAN 2025 concluded successfully with 56 notebook papers.

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Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection

  • 会议论文

  • 发表日期：

    2026年

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  • Janek Bevendorff,
  • Daryna Dementieva,
  • Maik Fröbe,
  • Bela Gipp,
  • André Greiner-Petter,
  • Jussi Karlgren,
  • Maximilian Mayerl,
  • Preslav Nakov,
  • Alexander Panchenko,
  • Martin Potthast,
  • Artem Shelmanov,
  • Efstathios Stamatatos,
  • Benno Stein,
  • Yuxia Wang,
  • Matti Wiegmann,
  • Eva Zangerle

摘要

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. In 2025, we organized four shared tasks: (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. PAN 2025 concluded successfully with 56 notebook papers.