🧑‍🔬 Eyke Hüllermeier

🏛️ Affiliations

🎓Ludwig-Maximilians-Universität MünchenMunich · Germany2021–2026 · 141 papersEmploymentcurrent🎓Munich Center for Machine LearningMunich · Germany2022–2026 · 53 paperscurrent🔬German Research Centre for Artificial IntelligenceKaiserslautern · Germany2025–2026 · 16 paperscurrent🏥LMU KlinikumMunich · Germany2022–2026 · 5 paperscurrent🎓Catholic University of Eichstätt-IngolstadtEichstätt · Germany2026 · 2 paperscurrent🎓Philipps University of MarburgMarburg · Germany2002–2025 · 185 papers🎓Paderborn UniversityPaderborn · Germany1997–2024 · 147 papersEmployment🎓Otto-von-Guericke-Universität MagdeburgMagdeburg · Germany2005–2008 · 28 papers🔬Institut de Recherche en Informatique de ToulouseToulouse · France1999–2001 · 10 papers🎓Université Toulouse III - Paul SabatierToulouse · France1999–2001 · 9 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education (2023 · 7,440 citations)
   This position paper by a large group of researchers from Munich and Tübingen asks how large language models such as ChatGPT can serve education, and what dangers they bring.
2. Problem Solving Through Human–AI Preference-based Cooperation (2025 · 9 citations)
   Generative AI systems, including LLMs, vision-language models and code models, still struggle with complex expert-domain tasks.
3. Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley Interactions (2025 · 1 citation)
   The paper asks whether LLMs can do natural language inference when the hypothesis contains an implicit metaphor, and whether naming the underlying conceptual metaphor helps.

All works

9 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for EducationEnkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al.2023 · 7,440 citations
2. Decision tree and instance-based learning for label ranking ↗International Conference on Machine Learning · no summary yetWeiwei Cheng, Jens Hühn, Eyke Hüllermeier2009 · 134 citations
3. A Survey of Reinforcement Learning from Human Feedback ↗arXiv:2312.14925 · Transactions on Machine Learning Research, 2025 · no summary yetTimo Kaufmann et al.2023 · 92 citations
4. Problem Solving Through Human–AI Preference-based CooperationComputational LinguisticsSubhabrata Dutta, Timo Kaufmann, Goran Glavaš, et al.2025 · 9 citations
5. Annotation Challenges for Reconstructing the Structural Elaboration of Middle Low German ↗Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature · no summary yetNina Seemann et al.2017 · 8 citations
6. Preference Learning (Dagstuhl Seminar 14,101) ↗Open access LMU (Ludwid Maxmilian's Universitat Munchen) · no summary yetJohannes Fürnkranz et al.2014 · 4 citations
7. Investigating the Impact of Conceptual Metaphors on LLM-based NLI through Shapley InteractionsFindings of the Association for Computational LinguisticsMeghdut Sengupta, Maximilian Muschalik, Fabian Fumagalli, et al.2025 · 1 citation
8. Computational Models of Cultural Behavior for Human-Agent Interaction (Dagstuhl Seminar 14,131) ↗no summary yetJohannes Fürnkranz et al.2014 · 1 citation
9. License Creative Commons BY 3.0 Unported license ↗no summary yetJohannes Fürnkranz et al.2014

🤝 Co-authors here

11 co-authors with a page, the most papers together first.

• Daryna Dementieva
• Debanjan Ghosh
• Frauke Kreuter
• Georg Groh
• Goran Glavaš
• Henning Wachsmuth
• Hinrich Schütze
• Iryna Gurevych
• Ivan Habernal
• Kristian Kersting
• Subhabrata Dutta

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Computational Linguistics: Computational Linguistics 2025
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2025
• International Conference on Machine Learning
• Learning and Individual Differences
• Open access LMU (Ludwid Maxmilian's Universitat Munchen)
• Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

🔗 Cited by

Papers of our library cite their works 287 times (of the 149,439 papers whose bibliographies we read); 55 citing papers with a page here →.

Updated 30 October 2026

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