Talks | Lukas Galke Poech

Talks

Invited talks

  • [t46] mechanistic interpretability, 2026, August 22. Danish AI Safety Conrerence, Copenhagen, Denmark. [slides]
  • [t45] Isolating Culture Neurons in Multilingual Large Language Models, 2026, March 17. HumanCLAIM workshop, Göttingen, Germany.
  • [t44] Cooperation, Culture, and Coordination in Neural Ecosystems, 2026, Feb 11. Lamarr NLP Colloquium, Lamarr Institute for Artificial Intelligence and Machine Learning, Bonn, Germany (hybrid). [slides] [event]
  • [t43] LLM-Assisted Paper Reading. Teaching with AI, 2026, January 21. Science Education Hub, SDU, Odense, Denmark.
  • [t39] Evaluating Large and Multilingual Language Models through Citizen Science, 2025, May 13. AI, Citizen Science, and MedTech – An Exploration, SDU, Odense, Denmark.
  • [t37] Machine Communication and the Emergence of Language, 2024, July 4. Max Planck Proudly Presents, Nijmegen, Netherlands.
  • [t36] Machine Communication, 2024, June 19. IMADA Seminar, SDU, Odense, Denmark.
  • [t35] Emergent communication and learning pressures in language models, 2024, June 10. ANN Humlang workshop, Amsterdam.
  • [t33] Learning Pressures and Inductive Biases in Neural Language Models, 2024, May 3. Meeting of Creative Intelligence Lab, Leiden, Netherlands.
  • [t29] What makes a language easy to deep-learn?, 2023, July 20. Colloquium Cognitive Systems, University of Ulm, Germany.
  • [t28] Lifelong Learning and Out-of-distribution Detection on Evolving Graphs, 2023, July 10. VU AI Colloquium, Amsterdam, The Netherlands.
  • [t27] Lifelong Neural Communication, 2023, July 5. Data Science, Hamburg University, Germany.
  • [t26] Uncovering Patterns in Medical Literature through Lifelong Automated Categorization and Research Dynamics Analysis with Machine Learning, 2023, May 17. KIK AI Coffee & Learning meeting, Amsterdam University Medical Centre, The Netherlands.
  • [t25] What makes a language easy to deep-learn?, 2023, May 16. Computational Linguistics Seminar, University of Amsterdam, The Netherlands.
  • [t24] What makes a language easy to deep learn?, 2023, February 27. Language Evolution and Emergence meeting, Max Planck Institute for Psycholinguistics, Nijmegen, The Netherlands.
  • [t23] Structure in Language Learning Systems, 2022, October 20. TALEP Marseille, France.

Conference and workshop presentations

  • [t42] LLM-Assisted Paper Reading, 2025, November. Teaching and Learning Conference (TAL), SDU, Odense, Denmark.
  • [t41] Not Everything That Counts Can Be Counted: A Case for Safe Qualitative AI, 2025, September 19. FAIEMA Conference, Stavanger, Norway.
  • [t40] Continual Quantization-Aware Pre-Training: When to transition from 16-bit to 1.58-bit pre-training for BitNet language models? [poster], 2025, August. ACL 2025, Vienna, Austria.
  • [t38] Harnessing Cross-lingual Morphological Generalization Abilities in Large Language Models with a Multilingual Wug Test [poster], 2024, July 9. Highlights in the Language Sciences Conference, Nijmegen.
  • [t34] Learning Pressures and Inductive Biases in Emergent Communication: Parallels between Humans and Deep Neural Networks, 2024, May 20. Evolang XV, May 20, 2024.
  • [t31] Lifelong Learning for Evolving Graphs [proposed talk], 2023, Oct 19. ContinualAI Unconference, Online.
  • [t30] What makes a language easy to deep-learn?, 2023, September 28. Protolang 8, Rome, Italy.
  • [t22] Machine Learning for Language Evolution – What’s missing?, 2022, September 5. Machine Learning and the Evolution of Language (ml4evolang) workshop at JCOLE’22, Japan/online.
  • [t19] General Cross-Architecture Distillation of Pretrained Language Models into Matrix Embeddings [paper presentation (oral)], 2022, July 19. World Congress on Computational Intelligence, Padua, Italy.
  • [t18] Emergent Communication for Understanding Human Language Evolution: What’s missing? [paper presentation (poster)], 2022, June 1. IMPRS conference, Nijmegen, The Netherlands.
  • [t17] Bag-of-Words vs. Graph vs. Sequence in Text Classification: Questioning the Necessity of Text-Graphs and the Surprising Strength of a Wide MLP [paper presentation (oral)], 2022, May 24. ACL 2022. video
  • [t16] Emergent Communication for Understanding Human Language Evolution [paper presentation (oral) and discussion session], 2022, April 29. EmeCom workshop at ICLR’22, online.
  • [t15] COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics [paper presentation (oral)], 2021, December 15. 2021 IEEE International Conference on Big Data (Big Data), online.
  • [t14] Lifelong learning of graph neural networks for open-world node classification [paper presentation (oral)], 2021, July 18. International Joint Conference on Neural Networks, online.
  • [t12] Inductive Learning of Concept Representations from Library-Scale Corpora with Graph Convolution [paper presentation (oral)], 2019, September 26. INFORMATIK 2019, Kassel, Germany.
  • [t11] What If We Encoded Words as Matrices and Used Matrix Multiplication as Composition Function [paper presentation (oral)], 2019, September 26. INFORMATIK 2019, Kassel, Germany
  • [t10] CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model [paper presentation (poster)], 2019, May 8. International Conference on Learning Representations, New Orleans, Lousiana. (with Florian Mai)
  • [t9] Can Graph Neural Networks Go Online? An Analysis of Pretraining and Inference [paper presentation (poster)], 2019, May 7. International Conference on Learning Representations, New Orleans, Lousiana.
  • [t8] LOC-DB Evaluation: criteria and preliminary results, 2018, November 6. Second Linked Open Citation Database (LOC-DB) workshop. [project presentation] (with Anne Lauscher, Syed Tahseen Raza Rizvi)
  • [t7] Multi-Modal Adversarial Autoencoders for Recommendations of Citations and Subject Labels [paper presentation (oral)], 2018, July 10. Conference on User Modeling, Adaptation and Personalization, Singapore, Singapore.
  • [t6] Using Titles vs. Full-text as Source for Automated Semantic Document Annotation [paper presentation (oral)], 2017, December 6. Knowledge Capture Conference, Austin, Texas.
  • [t5] LOC-DB Konzepte, 2017, November 7. First Linked Open Citation Database (LOC-DB) Workshop. [project presentation] (with Kai Eckert, Anne Lauscher)
  • [t4] Reranking-based Recommender Systems with Deep Learning [paper presentation (oral)], 2017, September 28. INFORMATIK 2017, Chemnitz, Germany.
  • [t3] Word Embeddings for Practical Information Retrieval [paper presentation (oral)], 2017, September 28. INFORMATIK 2017, Chemnitz, Germany.
  • [t2] Embedded Retrieval: Word Embeddings for Practical Information Retrieval [M.Sc. thesis presentation], 2017, May 5. Second DyESE workshop, Kiel, Germany.
  • [t1] Information Retrieval on Sparse Data [concept presentation], 2016, September 16. First DyESE workshop, Oslo, Norway.

Other

  • [t21] Representation Learning for Texts and Graphs [viva], 2022, August 28. Department of Computer Science, Kiel University, Germany.
  • [t20] Language Technology [gave a 2x45min workshop to a broad audience], 2022, August 18. Regiodag 2022 Probusclub Nijmegen e.o., Nijmegen, The Netherlands.
  • [t13] Scaling Up Graph Neural Networks [literature review talk], 2020, June 23. Graph Neural Networks Reading Group, online.

Contact: lukas 'at' lpag.de
Design: Adapted from Diane Mounter.
Privacy: No personal data, no cookies.