Math PD - Prof. Dr. Bela Gipp, University of Göttingen, GippLab

GippLab Showcases Research to DAAD President at NII Tokyo

wp-editor — Fri, 24 Oct 2025 17:11:56 +0000

GippLab members Dr. André Greiner-Petter and Dr. Timo Spinde had the honor of meeting Prof. Joybrato Mukherjee, President of the German Academic Exchange Service (DAAD), during his visit to the National Institute of Informatics (NII) in Tokyo. During the meeting, our researchers presented their current research projects to highlight GippLab’s ongoing activities at the NII and the long-standing history of our successful collaboration.

The discussion, also attended by Prof. Shigeo Sugimoto, Acting Director-General of the NII, underscored the strong academic and cultural ties between German and Japanese research institutions. The DAAD President’s visit emphasized the significance and enduring success of this international partnership, which has been generously supported by the DAAD for over a decade.

Our cooperation with the NII offers students and early-career researchers at the University of Göttingen unique opportunities for research stays in Tokyo. Details are available at https://gipplab.uni-goettingen.de/tokyo.

Der Beitrag GippLab Showcases Research to DAAD President at NII Tokyo erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Spektrum der Wissenschaft Highlights Our Research on the Future of Plagiarism Detection

wp-editor — Wed, 17 Sep 2025 09:03:42 +0000

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

More Information

Related Publications

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.

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.

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

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.

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.

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

Der Beitrag Spektrum der Wissenschaft Highlights Our Research on the Future of Plagiarism Detection erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Funding approved for 3-year research project by the DFG (German Research Foundation)

wp-admin — Sat, 11 Jul 2020 17:36:39 +0000

We are happy to announce that the DFG (German Research Foundation), has awarded our group a research grant for our project: “Analyzing Mathematics to Detect Disguised Academic Plagiarism”. The total funding sum of 633,000 Euro will be made available over a 3-year period to both Bela Gipp’s DKE Group at the University of Wuppertal and to Dr. Moritz Schubotz, a former DKE group member, now working at the FIZ Karlsruhe – Leibniz-Institute for Information Infrastructure. Significant earlier work carried out by Norman Meuschke and Corinna Breitinger has led to the realization of this DFG project.

The goal of this collaborative DFG-funded project will be to improve academic plagiarism detection methods for heavily disguised forms of plagiarism, including paraphrases, translations, or idea plagiarism. Our focus will be on texts and publications from the STEM-field, i.e. the Science, Technology, Engineering and Mathematics domain, since texts from these domains contain valuable semantic information encoded in the form of mathematical expressions, which are not being considered by existing approaches for plagiarism detection. We will conduct fundamental research on analyzing mathematical expressions as text-independent and language-independent features to help identify potentially suspicious similarity among documents.

We plan to combine our novel mathematics-based approach to plagiarism detection with both text-based and citation-based detection approaches, which we have developed in previous research. During this project, the research team will thus collaborate closely with researchers from Bela Gipp’s other DFG-funded project “Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation- and Assistance-Systems”.

Der Beitrag Funding approved for 3-year research project by the DFG (German Research Foundation) erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Wikipedia rolls out our research on providing semantic information for mathematical formulae

wp-admin — Fri, 10 Jan 2020 09:00:45 +0000

As of January 9, Wikipedia allows semantically enhancing mathematical formulae with the definitions of the terms they contain. For example, the formula of the famous mass-energy equivalence E=mc² now contains information on the variables E, m, and c. Clicking on the formula opens an information page (see figure) that displays the meanings of the variables and links to additional specifications of the formula’s terms.

Our group members André-Greiner Petter and Moritz Schubotz developed this new feature as part of the research for the DFG grant GI 1259-1. The additional information on formulae is obtained from Wikidata – a central, language-independent Wikimedia database that can be edited by both humans and bots. To further improve the availability of mathematical semantics, we combine the power of artificial intelligence with the capabilities of humans to (semi-automatically) generate semantic markup for mathematics in Wikipedia. Please refer to the following publications for details and join the Wikimedia Math community group if you are interested in helping to improve math support in Wikipedia.

Related publications:

Why Machines Cannot Learn Mathematics, Yet
A Greiner-Petter, T Ruas, M Schubotz, A Aizawa, W Grosky, B Gipp
Proceedings of the 4rd Joint Workshop on Bibliometric-enhanced Information Retrieval and Natural Language Processing for Digital Libraries (BIRNDL 2018) co-located with the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019), Paris, USA, July 25, 2019.
PDF Preprint

math.wikipedia.org: A vision for a collaborative semi-formal, language independent math(s) encyclopedia
J Corneli, M Schubotz
Conference on Artificial Intelligence and Theorem Proving, 2017
PDF Bibtex

AnnoMath TeX – a formula identifier annotation recommender system for STEM documents
P Scharpf, I Mackerracher, M Schubotz, J Beel, C Breitinger, B Gipp
Proceedings of the 13th ACM Conference on Recommender Systems, RecSys 2019, Copenhagen, Denmark, September 16-20, 2019
DOI: 10.1145/3298689.3347042 Preprint Bibtex Homepage Core Rank B

Der Beitrag Wikipedia rolls out our research on providing semantic information for mathematical formulae erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

New DFG Project about math retrieval

wp-admin — Tue, 01 Aug 2017 09:25:44 +0000

The DFG, Germany’s organization for research funding, has awarded our group a 3-year research grant for our project:

“Methods and Tools to Advance the Retrieval of Mathematical Knowledge from Digital Libraries for Search-, Recommendation- and Assistance-Systems” (Click here for more information on the project.)

Der Beitrag New DFG Project about math retrieval erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Improved math rendering in Wikipedia

wp-admin — Tue, 31 May 2016 08:11:34 +0000

Wikipedia is using a new approach for rendering mathematical formulae – as of May 31st. This approach was developed by our group member Moritz Schubotz.

Bitmap images representing formulae, were replaced with a combination of MathML (the web standard for mathematics on the web), in addition to a fallback mechanism for browsers that do not support this web standard.

This approach makes formulae machine readable and accessible to users with limited vision, while also looking crisper on high resolution displays and in print.

Der Beitrag Improved math rendering in Wikipedia erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

CitePlag on public radio

wp-admin — Thu, 10 Mar 2016 09:27:40 +0000

The national public radio broadcasters Deutschlandfunk and Deutschlandradio Kultur covered our collaborative research on Plagiarism Prevention and Detection and our prototype system CitePlag.

Der Beitrag CitePlag on public radio erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.