3 papers
cs.AI2025
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 +2
When using Large Language Models (LLMs) to support Knowledge Graph Engineering (KGE), one of the first indications when searching for an appropriate model is its size. According to…
cs.AI2025
LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs
Lars-Peter Meyer, Johannes Frey, Desiree Heim +4
Current Large Language Models (LLMs) can assist developing program code beside many other things, but can they support working with Knowledge Graphs (KGs) as well? Which LLM is off…
cs.AI2024
Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets
Desiree Heim, Christian Jilek, Adrian Ulges +1
Current publicly available knowledge work data collections lack diversity, extensive annotations, and contextual information about the users and their documents. These issues hinde…