PAN

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The PAN evaluation lab on digital text forensics includes three returning and two new tasks, which all tackle recent and relevant challenges from the field of text forensics with a special focus on the detection and analysis of text produced by generative~AI. The tasks are: (1) Voight-Kampff Generative AI Detection, (2) Text Watermarking, (3) Multi-author Writing Style Analysis, (4) Generative Plagiarism Detection, and (5) Reasoning Trajectory Detection.

Organizers

  • Janek Bevendorff (Leipzig University, Bauhaus-Universität Weimar)
  • Benno Stein (Bauhaus-Universität Weimar)
  • Andreas Jakoby (Bauhaus-Universität Weimar)
  • Henry Plutz (University of Kassel)
  • Martin Potthast (University of Kassel, hessian.AI, and ScaDS.AI)
  • Maik Fröbe (Friedrich-Schiller-Universität Jena)
  • Maximilian Mayerl (University of Applied Sciences BFI Vienna)
  • Eva Zangerle (University of Innsbruck)
  • André Greiner-Petter (University of Göttingen)
  • Yuxia Wang (Mohamed bin Zayed University of Artificial Intelligence)
  • Minh Ngoc Ta (BKAI Research Center, Hanoi University of Science and Technology)
  • Preslav Nakov (Mohamed bin Zayed University of Artificial Intelligence)