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Found 4 papers, 2 papers with code
Leveraging small language models for Text2SPARQL tasks to improve the resilience of AI assistance
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.
Benchmarking the Abilities of Large Language Models for RDF Knowledge Graph Creation and Comprehension: How Well Do LLMs Speak Turtle?
Large Language Models (LLMs) are advancing at a rapid pace, with significant improvements at natural language processing and coding tasks.
Developing a Scalable Benchmark for Assessing Large Language Models in Knowledge Graph Engineering
As the field of Large Language Models (LLMs) evolves at an accelerated pace, the critical need to assess and monitor their performance emerges.
LLM-assisted Knowledge Graph Engineering: Experiments with ChatGPT
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 society and industrial as well as scientific disciplines.
