From Digital Tracks to Digital Twins: On the Path to Cross-Platform Profile Linking. - Sergej Schultenkämper; Frederik S. Bäumer; Benjamin Bellgrau; Yeong Su Lee; Michaela Geierhos (EDOC Workshops, 2023)

Von der Theorie zur Praxis: Erfahrungen bei der akademischen Begleitung vonKI-ProjekteninKMUs. - Frederik S. Bäumer; Hans Brandt-Pook; Falk Maoro; Sergej Schultenkämper; Benjamin Stecker (GI-Jahrestagung, 2023)

Privacy Risks in German Patient Forums: A NER-Based Approach to Enrich Digital Twins. - Sergej Schultenkämper; Frederik Simon Bäumer (ICIST, 2023)

WisPerMed at "Discharge Me!": Advancing Text Generation in Healthcare with Large Language Models, Dynamic Expert Selection, and Priming Techniques on MIMIC-IV. - Hendrik Damm; Tabea Margareta Grace Pakull; Bahadir Eryilmaz; Helmut Becker; Ahmad Idrissi-Yaghir; Henning Schäfer; Sergej Schultenkämper; Christoph M. Friedrich (BioNLP@ACL, 2024)

Lektionen und Anwendungsfälle aus der Implementierung von Retrieval-Augmented-Generation-Systemen. - Frederik Simon Bäumer; Hans Brandt-Pook; André Matutat; Falk Maoro; David Pelkmann; Sergej Schultenkämper (INFORMATIK, 2024)

Structured Knowledge Extraction for Digital Twins: Leveraging LLMs to Analyze Tweets. - Sergej Schultenkämper; Frederik Simon Bäumer (I4CS, 2024)

Mirroring Privacy Risks with Digital Twins: When Pieces of Personal Data Suddenly Fit Together. - Frederik Simon Bäumer; Sergej Schultenkämper; Michaela Geierhos; Yeong Su Lee (SN Comput. Sci., 2024)

Multimodal Analysis of Modern Phishing Attacks: Towards an Evolving Dataset of Real-World Data. - Sergej Schultenkämper; Frederik S. Bäumer (ICSC, 2025)

Enhancing Social Media Summarization with Instruction Tuned Large Language Models and Adaptive Summary Ranking. - Sergej Schultenkämper; Viktoriia Vovchenko; Frederik S. Bäumer (ICSC, 2025)