• When: Tuesday, 22 September 2026 – Wednesday, 23 September 2026
• Where: Göttingen

Refer to this website for upcoming program details and registration.

Your orga team: Stephan Janosch, Inga Ulusoy, Mustafa Dogan, Bernadette Fritzsch, Bela Gipp, Lukas Netz, Sebastian Nielebock

P.S. Interested in participating in the organization and contributing to the program? Would you like to get involved in teaching hands-on sessions or presenting at the workshop? Please get in touch at ai-in-rse-workshop26@listserv.dfn.de by February 28, 2026.

Der Beitrag Workshop on AI-Supported Research Software Engineering erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

AI-generated media has significantly expanded the scope of digital crime. Highly realistic deepfake videos, cloned voices, and automated disinformation campaigns are now frequently used in fraud, identity theft, impersonation, and digital extortion. As a result, police work is increasingly shifting into the digital domain. While traditional street crimes such as pickpocketing are declining, citizens are more often confronted with sophisticated scams in which they are contacted by seemingly trustworthy individuals, authorities, or superiors and urged to transfer large sums of money – only to later discover that these communications were entirely AI-generated. 

At the GippLab, the project is being carried out by incoming graduate researchers Adam Lehavi and Kia-Jüng Yang, under the supervision of Dr. Terry Lima Ruas and Dr. Jan Philip Wahle. Their work focuses on developing a state-of-the-art multimodal dataset and generation pipeline for AI-manipulated content, designed to keep pace with the rapidly evolving capabilities of generative models. 

The fake news project addresses a growing societal and scientific challenge: existing deepfake detection systems are increasingly strained by the realism, diversity, and scale of AI-generated manipulations. Over a structured, multi-phase research program, the team will analyze gaps in current datasets, collect and preprocess authentic source material, generate single-modal and synchronized multimodal deepfakes, and systematically annotate and standardize the resulting data. The outcome will be a robust benchmark dataset and an automated pipeline ready to handle the challenges of an evolving and changing landscape. 

By combining expertise in natural language processing, computer vision, and generative AI, the project aims to strengthen the scientific foundations of deepfake detection research. Beyond academic impact, the project contributes to broader efforts to combat misinformation, cybercrime, and digital fraud, supporting reliable authenticity systems for media, research, and society at large. 

Der Beitrag GippLab Joins International Research Project to Detect Fake News erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

(1) SPaRC: A Spatial Pathfinding Reasoning Challenge
by Lars Benedikt Kaesberg, Jan Philip Wahle, Terry Ruas, and Bela Gipp

TL;DR: SPaRC is a 2D pathfinding dataset that necessitates multi-step spatial and rule-based reasoning, underscoring a significant gap in spatial understanding between human and AI reasoning models.

Paper: https://aclanthology.org/2025.emnlp-main.526 or https://sparc.gipplab.org

Poster: https://www.slideshare.net/slideshow/emnlp-2025-poster-sparc-a-spatial-pathfinding-reasoning-challenge/284023981

Presentation: Wed. Nov. 5, 14:30-16:00, Hall C

(2) Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry
by Anastasia Zhukova*, Jonas Lührs*, Christian E. Lobmüller, and Bela Gipp (*equal contribution)

TL;DR: We explore the use of knowledge graphs for fine-tuning language models, specifically the text encoder, when the text domain data is low-resource.

Paper: https://aclanthology.org/2025.emnlp-industry.103/

Poster: https://www.slideshare.net/slideshow/contrastive-learning-using-graph-embeddings-for-domain-adaptation-of-language-models-in-the-process-industry/283913368

Presentation: Wed., Nov. 5, 14:30-16:00, Hall C, Industry Poster Session 1

(3) MALLM: Multi-Agent Large Language Models Framework
by Jonas Becker*, Lars Benedikt Kaesberg*, Niklas Bauer, Jan Philip Wahle, Terry Ruas, and Bela Gipp (*equal contribution)

TL;DR: A framework for multi-agent debate to conduct your research experiments. Evaluate agent personas, response generators, discussion paradigms, and decision protocols.

Paper: https://aclanthology.org/2025.emnlp-demos.29/ or https://mallm.gipplab.org

Poster: https://www.slideshare.net/slideshow/mallm-multi-agent-large-language-models-framework-emnlp-2025/284028707

Presentation: Thu., Nov. 6, 16:30-18:00, Hall C

(4) TrojanStego: Your Language Model can Secretly Be A Steganographic Privacy Leaking Agent
by Dominik Meier, Jan Philip Wähle, Paul Röttger, Terry Ruas, Bela Gipp

TL;DR: We explore a novel threat model where LLMs secretly embed information in their output.

Paper: https://aclanthology.org/2025.emnlp-main.1386/

Poster: https://pdfhost.io/v/WsBM3XwhdJ_TrojanStego-Dm-JW-2-1

Presentation: Fri., Nov. 7, 10:30-12:00, Hall C

(5) Re-FRAME the Meeting Summarization SCOPE: Fact-Based Summarization and Personalization via Questions
by Frederic Kirstein, Sonu Kumar, Terry Ruas, Bela Gipp

TL;DR: We introduce FRAME, a fact-centric pipeline that incorporates statement–context tuples, along with SCOPE, a reason-out-loud personalization protocol, and P-MESA, a reader-aligned metric. We reframe summarization as enrichment, cutting hallucination/omission, and improving relevance, goal alignment, and knowledge fit in meeting summaries.

Paper: https://aclanthology.org/2025.findings-emnlp.1094/

Poster: https://de.slideshare.net/slideshow/emnlp25-poster/284036994

Presentation: Fri., Nov. 7, 12:30-13:30, Hall C

Der Beitrag GippLab Presents Five Papers at EMNLP Conference in China erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

We will host a free info session on Wednesday, 12 November 2025, 12:00–14:00 (CET) at the Informatik‑Provisorium, Room 0.102. In this info session, we will cover:

• What is NII? – an overview of NII and its world‑leading research areas.
• Eligibility & funding: opportunities for master’s students, PhD candidates, and postdocs, typical internship durations (2–6 months), and compensation.
• Application process: how to select projects, prepare documents, and meet the upcoming spring deadline.
• Additional support: DAAD funding for travel costs and practical tips for living in Tokyo.
• Experience report: insights from previous interns with plenty of pictures.

Everyone interested in research staying in Japan is welcome, especially students from Computer Science, Data Science, and related disciplines. Please save the date and spread the word!

More information:
Visit our detailed program page, where you can find eligibility criteria, project selection guidance, and experiences of former interns.

Further links:

• NII International Internship Program
• DAAD program for computer science students and researchers

Der Beitrag Research‑Internship Opportunities at the National Institute of Informatics (NII) in Tokyo erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Having obtained the highest university degree achievable in Germany allows him to independently teach and supervise graduate students and PhD researchers. We wholeheartedly congratulate him on this significant milestone in his academic career!

Der Beitrag Dr. Terry Ruas passes habilitation exam erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Smart Solutions is an NLP-driven recommender system designed specifically for shift workers in the process industry. By analyzing historical shift records, it efficiently extracts, ranks, and summarizes documented solutions, providing operators with a comprehensive overview of available solutions in seconds. This capability accelerates troubleshooting and significantly reduces production downtimes.

Please visit the project page for more information about our ongoing research collaboration with eschbach.

Der Beitrag “Smart Solutions” wins Best of Industry Award 2024 erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

The public event in Bursfelde Monastery begins at 6:30 p.m. All interested parties are welcome.

Read more (in German).

Der Beitrag Talk on the Ethical Challenges of AI in Bursfelde erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

The newly funded project aims to develop advanced AI-driven multilingual search and recommendation algorithms tailored to handle the process industry’s unique terminology and language conventions. The enhanced AI capabilities will significantly elevate the Smart Search functionality of eschbach’s flagship product, Shiftconnector, by enabling seamless searches and recommendations across multiple languages. This innovation is particularly vital for global organizations utilizing Shiftconnector in production facilities worldwide.

eschbach and GippLab have collaborated successfully on research and development projects since 2015. Our joint efforts won multiple prestigious awards for product improvements and benefited the research community. This newly secured grant will mark a new chapter in our collaboration, supporting critical research, data science, and software development roles at both eschbach and GippLab.

Please visit this page to learn more about our fruitful research collaboration with eschbach.

Der Beitrag Federal Funding Approved for AI Research Collaboration with eschbach erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

The State Secretary in the Lower Saxony Ministry of Science and Culture, Prof. Dr. Joachim Schachtner, was among the many interested visitors we welcomed at the University of Göttingen booth.

Those who could not visit us on-site can find all the information about the project, the hardware, and open-source software at https://fawnrescue.github.io/.

Der Beitrag GippLab showcases its FPV Quadcopter Technology for Automated Fawn Rescue at IdeenExpo erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.

Der Beitrag New SUB leadership: Bela Gipp appointed Scientific Director erschien zuerst auf Prof. Dr. Bela Gipp, University of Göttingen, GippLab.