Dr. Markus Schröder

Organisationseinheit Smarte Daten & Wissensdienste

Kontakt +49 631 20575 2070 (Kaiserslautern)

Markus.Schroeder@dfki.de

http://www.dfki.uni-kl.de/~mschroeder/

Adresse (Kaiserslautern) Trippstadter Straße 12267663 Kaiserslautern

Publikationen

Alle Publikationen

DIN SPEC 91526: Knowledge Graphs for Language Models and Language Models for Knowledge Graphs - Hybrid Applications of symbolic and subsymbolic AI
Georg Rehm; Leonhard Hennig; Julian Moreno Schneider; Fabio Barth; Markus Schröder; Desiree Heim; Daniel Baldassare; Michael Wetzel; René Pietzsch; Harald Sack; Heike Fliegl; Wolfram Horstmann; Sven Hertling; Diego Collarana; Moritz Busch; Daniel Burkhardt; Alan Akbik; Max Ploner; Robert David; Sabine Mahr
DIN Media GmbH, Berlin, 5/2025.
How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance
Desiree Heim; Lars-Peter Meyer; Markus Schröder; Johannes Frey; Andreas Dengel
In: Proceeding of the Workshop on Evaluation of Language Models in Knowledge Engineering co-located with the 22th Extended Semantic Conference. Extended Semantic Web Conference (ESWC-2025), 2nd Workshop on Evaluation of Language Models in Knowledge Engineering, located at ESWC 2025, June 1-5, Portoroz, Slovenia, CEUR Workshop Proceedings, 2025.
Data Collection of Real-Life Knowledge Work in Context: The RLKWiC Dataset
Mahta Bakhshizadeh; Christian Jilek; Markus Schröder; Heiko Maus; Andreas Dengel
In: Shuliang Li (Hrsg.). Information Management. International Conference on Information Management (ICIM-2024), located at 10th International Conference on Information Management, March 8-10, The University of Cambridge, Cambridge. United Kingdom, ISBN 978-3-031-64359-0, Springer CCIS series Conference Proceedings, 7/2024.

Profil

TL Cybermapping
TransferLab Cybermapping
Zusammenarbeit von DFKI und Deutsche Bundesbank in einem Transferlab zu diversen Themen im Finanzbereich, z.B. zur Erkennung von Fehlern und Anomalien in Daten der Finanzaufsicht, der Analyse großer…

Dr. Markus Schröder

DIN SPEC 91526: Knowledge Graphs for Language Models and Language Models for Knowledge Graphs - Hybrid Applications of symbolic and subsymbolic AI

How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance

Data Collection of Real-Life Knowledge Work in Context: The RLKWiC Dataset

Profil

TL Cybermapping