Dr. Jae Hee Lee
Photo: Jae Hee Lee
Prinicipal Investigator of LUMO Project
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About Me
I am a principal investigator at the University of Hamburg, where I co-lead the DFG projects LUMO and E4-MALM. My research focuses on trustworthy AI systems that can reason robustly, handle multimodal information (e.g., language, vision, and action), and explain their behavior.
You can find more about my work on the Research, Teaching, and CV pages.
Latest News
- May 2026 I have been recognized as a Gold Reviewer for ICML 2026, placing me among the top reviewers based on area-chair ratings.
- Apr 2026 Our paper The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level has been accepted to ICML 2026.
- Apr 2026 Our paper Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings has been accepted to IJCAI 2026.
- Apr 2026 This summer semester, I’ll teach advanced topics in deep learning, which include transformers, large language models, robust generalization, and interpretability (course website).
- Mar 2026 Our DFG grant proposal “Evaluating, Explaining, and Enabling Ethical Multi-Agent Systems of Large Language Models” for the Priority Area LaSTing (SPP 2556) has been approved (with Prof. Anne Lauscher). See our position paper.
We are hiring! - Mar 2026 I am co-organizing the 5th International Workshop on Spatio-Temporal Reasoning and Learning (STRL 2026), which is co-located with IJCAI 2026 and taking place in Bremen, Germany this year.
- Mar 2026 The LUMO project has now an official website with detailed information about the project, the team, and the research. Check it out!
Recent Publications
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The Expert Strikes Back: Interpreting Mixture-of-Experts Language Models at Expert Level
J. Herbst, S. Wermter, J. H. Lee
International Conference on Machine Learning (to appear) 2026
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Explaining, Verifying, and Aligning Semantic Hierarchies in Vision-Language Model Embeddings
G. Schwalbe, M. Keser, M. Bayerkuhnlein, E. Heinert, A. Mütze, M. Keller, S. Tiwari, G. Mikriukov, D. Wolter, J. H. Lee, M. Rottmann
International Joint Conference on Artificial Intelligence (to appear) 2026
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Knowing the Facts but Choosing the Shortcut: Understanding How Large Language Models Compare Entities
H. H. Lehmann, J. H. Lee, S. Schockaert, S. Wermter
European Chapter of the Association for Computational Linguistics 2026
Recent Blogposts
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· 2 min read
Deep Learning Courses and Books for Beginners
A curated list of deep learning resources for CS students who want to understand recent research papers.
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· 1 min read
Common LaTeX Mistakes by Newbies
A list of common LaTeX mistakes that beginners often make, with examples of correct usage.