Paul Grundmann
PhD Researcher
About
Paul Grundmann is a research assistant for DATEXIS since September 2020 at Beuth University of Applied Sciences. After finishing his Bachelor of Science degree in Media Informatics in january 2019 and working at Helmholtz-Zentrum-Berlin he now supports the work of the DATEXIS-team. He finished his Master of Science degree in August 2020 in Media Informatics at Beuth University of Applied Science.
In his spare time Paul enjoys playing the electric guitar or during summer riding his road bike around Berlin and Brandenburg.
Current Research and Projects
Publications
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2026
EACL
CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Models
Paul Grundmann, Jan Frick, Dennis Fast, Thomas Steffek, Felix A. Gers, Wolfgang Nejdl, Alexander Löser
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2026
LREC
Tom Röhr, Thomas Steffek, Roman Teucher, Keno Bressem, Alexei Figueroa, Paul Grundmann, Peter Tröger, Felix Alexander Gers, Alexander Löser
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2025
FinNLP
Alexei Gustavo Figueroa Rosero, Paul Grundmann, Julius Freidank, Wolfgang Nejdl, Alexander Löser
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2024
Expert Syst. Appl.
Keno K. Bressem, Jens-Michalis Papaioannou, Paul Grundmann, Florian Borchert, Lisa C. Adams, Leonhard Liu, Felix Busch, Lina Xu, Jan P. Loyen, Stefan Markus Niehues, Moritz Augustin, Lennart Grosser, Marcus R. Makowski, Hugo J. W. L. Aerts, Alexander Löser
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2024
LREC/COLING
Paul Grundmann, Jens-Michalis Papaioannou, Tom Oberhauser, Thomas Steffek, Amy Siu, Wolfgang Nejdl, Alexander Löser
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2023
arXiv
Tianyu Han, Lisa C. Adams, Jens-Michalis Papaioannou, Paul Grundmann, Tom Oberhauser, Alexei Figueroa, Alexander Löser, Daniel Truhn, Keno K. Bressem