23.04.2026
Teaching NLP in the LLM Era: Workshop TeachNLP 2026
International Workshop at EACL 2026 Co-Organized by Our Junior Member Matthias Aßenmacher
How should Natural Language Processing be taught in the age of large language models? This question brought researchers and educators together at the Seventh Workshop on Teaching Natural Language …
23.04.2026
Digdeep Podcast: How Can Dr. ChatGPT Actually Help the Family Doctor, Prof. Jochen Gensichen?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
This episode of #digdeep is with Jochen Gensichen, director of general medicine at the LMU Clinic in Munich. For most people in Germany, the general practitioner’s office is the first point of contact, …
23.04.2026
Development of a New AI Foundation Model
New Infrastructure Aims to Enable More Efficient and Accessible AI
The Bavarian AI Foundation Model Initiative is a flagship project funded by the Bavarian State Ministry of Science and the Arts (StMWK) to strengthen Bavaria’s technological sovereignty in the field …
23.04.2026
When Vision AI Hallucinates Details
MCML Research Insight – With Rui Xiao, Sanghwan Kim and Zeynep Akata
A photo shows a dog on a sofa. You ask an AI assistant: Is there also a cat sitting next to it? The assistant confidently says yes, even though there is no cat at all. In many everyday situations, …
16.04.2026
Welcoming Achim Lilienthal to MCML
Advancing Perception and Autonomy in Robotics Through AI-Driven Systems
We are pleased to welcome Achim J. Lilienthal as a Principal Investigator at MCML. Achim J. Lilienthal is Professor at the Technical University of Munich, where he holds the Chair of Perception for …
16.04.2026
Welcoming Valentin Hofmann to MCML
Exploring How Language, Society, and AI Interact in Modern NLP Systems
We are pleased to welcome Valentin Hofmann as a Principal Investigator. Valentin Hofmann is a Junior Professor for Information and Language Processing Using AI Methods at LMU Munich. His research …
16.04.2026
Do Language Models Reason Like Humans?
MCML Research Insight – With Philipp Mondorf and Barbara Plank
Imagine reading the sentence: “If it rains, the streets will be wet.” Most people would consider it perfectly reasonable. Now consider a different statement: “If the moon is made of cheese, the …
15.04.2026
Michael A. Hedderich Featured in “KI Pro” Podcast
Discussing Trust, Limitations, and Evaluation of LLMs From an Industry Perspective
MCML Junior Research Group Michael A. Hedderich was recently interviewed by heise for their industry-focused “KI Pro” podcast. In the episode, he discusses key questions around large language models …
15.04.2026
Visit from Federal and Bavarian Ministries to MCML
Strengthening Collaboration Between Research, Policy, and Industry for Impactful AI Innovation
The MCML had the pleasure of welcoming representatives from the German Federal Ministry of Research, Technology and Space (BMFTR) and the Bavarian State Ministry of Science and the Arts (StMWK). The …
09.04.2026
Digdeep Podcast: Why Does AI Have an Incomplete Picture of Our World, Wiebke Hutiri?
News From the Digital World by MCML PI Frauke Kreuter and Christof Horn
In this episode of #digdeep speeks Wiebke Hutiri, Senior Research Scientist at Sony. The podcast describes how AI systems make decisions about people every day, but often rely on unbalanced training …
09.04.2026
Nikita Araslanov Receives Prestigious Emmy Noether Grant
Award Supports Establishment of Independent AI Research Group
MCML Junior Member Nikita Araslanov has been awarded a prestigious Emmy Noether Grant by the German Research Foundation (DFG). The grant will support Nikita in establishing his independent research …
02.04.2026
How AI Avatars Shape Perceived Fairness
MCML Research Insight – With Ka Hei Carrie Lau and Enkelejda Kasneci
Imagine applying for a job and being interviewed not by a human recruiter, but by an AI avatar on your screen. The conversation feels surprisingly natural. The interviewer smiles, asks questions, and …
2020-10-13 - Last modified: 2026-04-28