Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection
Bevendorff, Janek Fröbe, Maik Greiner-Petter, André Jakoby, Andreas Mayerl, Maximilian Nakov, Preslav Plutz, Henry Potthast, Martin Stein, Benno Ta, Minh Ngoc
Bevendorff, Janek
Fröbe, Maik
Greiner-Petter, André
Jakoby, Andreas
Mayerl, Maximilian
Nakov, Preslav
Plutz, Henry
Potthast, Martin
Stein, Benno
Ta, Minh Ngoc
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Department
Natural Language Processing
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Conference proceeding
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Abstract
The goal of the PAN workshop is to advance computational stylometry and text forensics via objective and reproducible evaluation. In 2026, we run the following five tasks: (1) Voight-Kampff Generative AI Detection, particularly in mixed and obfuscated authorship scenarios, (2) Text Watermarking, a new task that aims to find new and benchmark the robustness of existing text watermarking schemes, (3) Multi-author Writing Style Analysis, a continued task that aims to find positions of authorship change, (4) Generative Plagiarism Detection, a continued task that targets source retrieval and text alignment between generated text and source documents, and (5) Reasoning Trajectory Detection, a new task that deals with source detection and safety detection of LLM-generated or human-written reasoning trajectories. As in previous years, PAN invites software submissions as easy-to-reproduce Docker containers for most of the tasks. Since PAN 2012, more than 1,100 submissions have been made this way via the TIRA experimentation platform [8].
Citation
J. Bevendorff, M. Fröbe, A. Greiner-Petter, A. Jakoby, M. Mayerl, P. Nakov , et al., "Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection," 2026, pp. 225-232.
Source
Lecture Notes in Computer Science
Conference
48th European Conference on Information Retrieval, ECIR 2026
Keywords
46 Information and Computing Sciences, 4602 Artificial Intelligence
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Source
48th European Conference on Information Retrieval, ECIR 2026
Publisher
Springer Nature