How can science uphold integrity in an era where large language models (LLMs) can seamlessly disguise stolen ideas? The renowned journal Spektrum der Wissenschaft explores this question in its recent article “Das Katz-und-Maus-Spiel um die Redlichkeit” (“Cat-and-Mouse Game with Integrity”).

The piece features our latest research on tackling the evolving challenges of plagiarism detection in a digital world with unlimited access to AI tools. It highlights an interview with Dr. André Greiner-Petter, who shares insights from his research stay in Japan, where he is developing an artificial dataset of LLM-generated plagiarism. This pioneering work aims to uncover hidden risks and strengthen existing detection algorithms.

Read the full article on Spektrum.de (note: access requires a subscription): Plagiate, KI und Redlichkeit – Die Wissenschaft im digitalen Dilemma

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[PDF] J. Bevendorff, D. Dementieva, M. Froebe, B. Gipp, A. Greiner-Petter, J. Karlgren, M. Mayerl, P. Nakov, A. Panchenko, M. Potthast, A. Shelmanov, E. Stamatatos, B. Stein, Y. Wang, M. Wiegmann, and E. Zangerle, “Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-Author Writing Style Analysis, and Generative Plagiarism Detection,” in Proceedings of the 47th European Conference on Information Retrieval (ECIR), 2025.

[PDF] [DOI] A. Satpute, N. Giessing, A. Greiner-Petter, M. Schubotz, O. Teschke, A. Aizawa, and B. Gipp, “Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange,” in Proceedings of 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR ’24), Washington, USA, 2024.

[PDF] [DOI] N. Meuschke, Analyzing Non-Textual Content Elements to Detect Academic Plagiarism, Springer Fachmedien Wiesbaden, 2023. Video of Doctoral Defense.

[PDF] [DOI] J. P. Wahle, T. Ruas, F. Kirstein, and B. Gipp, “How Large Language Models are Transforming Machine-Paraphrased Plagiarism,” in Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022, pp. 952-963.

[PDF] [DOI] T. Foltynek, N. Meuschke, and B. Gipp, “Academic Plagiarism Detection: A Systematic Literature Review,” ACM Computing Surveys, vol. 52, iss. 6, p. 112:1–112:42, 2019.

[PDF] [DOI] B. Gipp, Citation-based Plagiarism Detection – Detecting Disguised and Cross-language Plagiarism using Citation Pattern Analysis, Springer Vieweg Research, 2014.