Yarik Menchaca Resendiz and Roman Klinger. Llm-based affective text generation quality based on different quantization values, 2025. [ bib | arXiv | http ]

Jiahui Li and Roman Klinger. iprop: Interactive prompt optimization for large language models with a human in the loop, 2024. [ bib | arXiv | http ]

Amelie Wührl and Roman Klinger. Self-adaptive paraphrasing and preference learning for improved claim verifiability, 2024. [ bib | arXiv | http ]

Sean Papay, Roman Klinger, and Sebastian Pado. Regular-pattern-sensitive crfs for distant label interactions, 2024. [ bib | arXiv | http ]

Johannes Schäfer, Aidan Combs, Christopher Bagdon, Jiahui Li, Nadine Probol, Lynn Greschner, Sean Papay, Yarik Menchaca Resendiz, Aswathy Velutharambath, Amelie Wührl, Sabine Weber, and Roman Klinger. Which demographics do llms default to during annotation?, 2024. [ bib | arXiv | http ]

Jan Hofmann, Cornelia Sindermann, and Roman Klinger. Prompt-based personality profiling: Reinforcement learning for relevance filtering, 2024. [ bib | arXiv | http ]

H. ter Horst, M. Hartung, R. Klinger, M. Zwick, and P. Cimiano. Predicting Disease-Gene Associations using Cross-Document Graph-based Features. ArXiv e-prints, September 2017. preprint. [ bib | arXiv | .pdf ]

Janik Jaskolski, Fabian Siegberg, Thomas Tibroni, Philipp Cimiano, and Roman Klinger. Opinion mining in online reviews about distance education programs, 2016. [ bib | arXiv | .pdf ]

Roman Klinger and Katrin Tomanek. Classical Probabilistic Models and Conditional Random Fields. Technical Report TR07-2-013, Department of Computer Science, Dortmund University of Technology, December 2007. ISSN 1864-4503, Technical Report. [ bib | .pdf ]

Andreas Stöckel, Benjamin Paassen, Raphael Dickfelder, Jan Philipp Göpfert, Nicole Brazda, Hans Werner Müller, Philipp Cimiano, Matthias Hartung, and Roman Klinger. Scie: Information extraction for spinal cord injury preclinical experiments – a webservice and open source toolkit. bioRxiv, January 2015. preprint. [ bib | DOI ]