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K. Junghanns

3 papers hereh-index 6169 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.AI3

identity via Semantic Scholar / OpenAlex

most citedLLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT

60 citations · 64 across the 3 of their papers we have counts for

collaborators

3 papers

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.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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.