PAN 2026概览：Voight-Kampff生成式AI检测、文本水印、多作者写作风格分析、生成式抄袭检测及推理轨迹检测
Overview of PAN 2026: Voight-Kampff Generative AI Detection, Text Watermarking, Multi-Author Writing Style Analysis, Generative Plagiarism Detection, and Reasoning Trajectory Detection
AI总结：
PAN 2026旨在通过客观评估推进计算风格学和文本取证，涵盖生成式AI检测、文本水印、多作者写作分析、抄袭检测及推理轨迹检测等五个新旧任务。
摘要：
PAN研讨会的目标是通过客观且可重复的评估来推进计算风格学和文本取证。在2026年，我们将运行以下五个任务：（1）Voight-Kampff生成式AI检测，特别是在混合和混淆的作者身份场景中；（2）文本水印，一个新任务，旨在发现并基准现有文本水印方案的鲁棒性；（3）多作者写作风格分析，一个持续的任务，旨在寻找作者身份变化的位置；（4）生成式抄袭检测，一个持续的任务，旨在针对生成文本与源文档之间的源检索和文本对齐；（5）推理轨迹检测，一个新任务，旨在处理LLM生成或人工写作推理轨迹的源检测和安全性检测。如同往年一样，PAN邀请软件提交作为易于重复的Docker容器用于大多数任务。自2012年以来，通过TIRA实验平台，已通过这种方式提交了超过1,100次。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
