ARUQULA -- An LLM based Text2SPARQL Approach using ReAct and Knowledge Graph Exploration Utilities Paper • 2510.02200 • Published Oct 2
LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT Paper • 2307.06917 • Published Jul 13, 2023
LLM-KG-Bench 3.0: A Compass for SemanticTechnology Capabilities in the Ocean of LLMs Paper • 2505.13098 • Published May 19 • 1
How do Scaling Laws Apply to Knowledge Graph Engineering Tasks? The Impact of Model Size on Large Language Model Performance Paper • 2505.16276 • Published May 22
Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance Paper • 2405.17076 • Published May 27, 2024
Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle? Paper • 2309.17122 • Published Sep 29, 2023
Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering Paper • 2308.16622 • Published Aug 31, 2023
Characterizing Knowledge Graph Tasks in LLM Benchmarks Using Cognitive Complexity Frameworks Paper • 2509.19347 • Published Sep 17