Desiree Heim
Scholar

Desiree Heim

Google Scholar ID: y87xs6wAAAAJ
DFKI
Knowledge WorkPersonal Information ManagementNeurosymbolic AILLMKnowledge Graphs
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
10
 
H-index
2
 
i10-index
0
 
Publications
6
 
Co-authors
0
 
Contact
EmailDesiree.Heim@dfki.de
Publications
2 items
How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance
2025
Cited
0
LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs
2025
Cited
0
Resume
Academic Achievements
  • Published a paper titled 'Towards Synthesizing E-Mail Conversations as Part of Knowledge Work Datasets with Large Language Models' with co-authors Christian Jilek, Adrian Ulges, and Andreas Dengel. The paper will be presented at the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-2024).
Research Experience
  • Works as a researcher in the Smart Data & Knowledge Services unit at DFKI.
Education
  • Holds an M.Sc. degree, specific school and advisor information not provided.
Background
  • Research interests include smart data and knowledge services. Works in the Smart Data & Knowledge Services unit at DFKI.