Student Projects

Supervised or co-supervised student projects (bachelor thesis, master thesis, or group project).

Oliver Nicklas Jøhnk Eriksen (2026). Fine-Tuning Vision-Language Models for Chart Comprehension: A Synthetic Data Study with Gemma3. Master’s thesis, SDU.

Emil Henriksen (2026). Guided Questioning in Language Model Agents. Master’s thesis, SDU.

Niklas Mellgren (2025). LLM Agents for Hybrid AI: A Framework for Fact-Grounded Multi-Agent Collaboration. Master’s thesis, SDU.

Filippo Tonini (2025). Investigating Super-additive Cooperation in Competitive RL Environments for Language Model Agents. Master’s thesis, SDU.

Frederik Tackmann (2025). Utilizing Shapley Values to Analyze RAG Generation. Master’s thesis, SDU.

Celine Hoa Bruun Ahrnkiel (2025). Graph Neural Networks for Football Tracking Data. Master’s thesis, SDU.

Denisa Koca (2025). Generating Synthetic Data for Personalized Paraphrasing and Translation in Healthcare Using LLMs. Master’s thesis, SDU.

Sarah Ibrahim (2025). Evaluating Synthetic Data for Personalized Paraphrasing in Healthcare using LLMs. Master’s thesis, SDU.

Annemette Brok Pirchert (2025). From Bits to Insights: Mechanistic Interpretability for Quantized Language Models. Master’s thesis, SDU.

Maleha Afzal (2025). Interpreting Health Language Models. Master’s thesis, SDU.

Sara Lattarulo (2025). Session-based recommendation for the LEGO group. Master’s thesis, SDU.

Asger Tobiesen (2025). A Principled Approach to Inference for Anomalous Diffusion Models. Bachelor’s thesis, SDU.

Thi Thao Anh Dang (2024). Morphological Knowledge in Multilingual Large Language Models: A Comparative Analysis of mT5 and ByT5. Master’s thesis, Radboud University, Netherlands.

Thi Thao Anh Dang (2024). Testing the linguistic niche hypothesis in large with a multilingual Wug test. Lab rotation project, Radboud University, Netherlands.

Nerijus Bertalis, Paul Granse, Ferhat Gül, Florian Hauss, Leon Menkel, David Schüler, Tom Speier (2024). Hierarchical Text Classification (HTC) vs. eXtreme Multilabel Classification (XML): Two Sides of the Same Medal. Project Data Science, University of Ulm, Germany.

Andor Diera, Bao Xin Lin, Bhakti Khera, Tim Meuser, Tushar Singhal (2022). Bag-of-Words Models vs. Graph- and Hierarchy-based Models vs. Sequence-based Models: A Comparison Study On Single-label and Multi-label Text Classification. Project Data Science, University of Ulm, Germany.

Isabelle Cuber, Christoph Meyer, Henrik Ferdinand Nölscher, Angelina Sonderecker (2021). New Students on Sesame Street: What Order-Aware Matrix Embeddings Can Learn from BERT. Project Data Science, University of Ulm, Germany.

Sina Sajadmanesh, Nikolaos Karalias, Carlos Medina (2020). Few-Shot Text Classification using Graph Neural Networks. Course project, EPFL, Lausanne, Switzerland.

Benedikt Franke & Tobias Zielke (2020). Subgraph Sampling in an Online Learning Scenario. Project Data Science, University of Ulm, Germany.

Fabian Steputat (2019). Document Classification with Few-shot Learning. Master’s thesis, Kiel University, Germany.

Florian Mai (2018). Master’s thesis, Kiel University, Germany.