Publications

Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide

Szep, M., Rueckert, D., von Eisenhart-Rothe, R., & Hinterwimmer, F.

Transactions of the Association for Computational Linguistics, 14, 341–377, 2026

Unintended Memorization of Sensitive Information in Fine-Tuned Language Models

Szep, M., Ruiz, J. M., Kaissis, G., Seidl, P., von Eisenhart-Rothe, R., Hinterwimmer, F., & Rueckert, D.

Proceedings of the 19th Conference of the European Chapter of the ACL (Volume 1, Long Papers), 6461–6480, Rabat, Morocco, 2026

Modeling Challenging Patient Interactions: LLMs for Medical Communication Training

Bodonhelyi, A., Stegemann-Philipps, C., Sonanini, A., Herschbach, L., Szep, M., Herrmann-Werner, A., Festl-Wietek, T., Kasneci, E., & Holderried, F.

arXiv preprint arXiv:2503.22250, 2025 · Under review

LLM-based extraction of clinical data: potentials and challenges

Seidl, P., Szep, M., Breden, S., Charitou, F., Mogler, C., Schüffler, P., von Eisenhart-Rothe, R., Lazic, I., & Hinterwimmer, F.

Die Orthopädie, Heidelberg, Germany, 2025

Reinforcement Learning for Solving Robotic Reaching Tasks in the Neurorobotics Platform

Szep, M., Lauenburg, L., Farkas, K., Su, X., & Zang, C.

arXiv preprint arXiv:2210.17138, 2022