activity
20232025
most citedLLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT

60 citations · 73 across the 9 of their papers we have counts for

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6 papers · 1 filter

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★ 2 cited

Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance

Felix Brei, Johannes Frey, Lars-Peter Meyer

In this work we will show that language models with less than one billion parameters can be used to translate natural language to SPARQL queries after fine-tuning. Using three diff…

cs.AI2023★ 4 cited

Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?

Johannes Frey, Lars-Peter Meyer, Natanael Arndt +2

Large Language Models (LLMs) are advancing at a rapid pace, with significant improvements at natural language processing and coding tasks. Yet, their ability to work with formal la…

cs.AI2023★ 4 cited

Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering

Lars-Peter Meyer, Johannes Frey, Kurt Junghanns +4

As the field of Large Language Models (LLMs) evolves at an accelerated pace, the critical need to assess and monitor their performance emerges. We introduce a benchmarking framewor…

cs.AI2023★ 60 cited

LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT

Lars-Peter Meyer, Claus Stadler, Johannes Frey +6

Knowledge Graphs (KG) provide us with a structured, flexible, transparent, cross-system, and collaborative way of organizing our knowledge and data across various domains in societ…