Matches in Nanopublications for { <https://neverblink.eu/ontologies/llm-kg/methods#SynthKGQA> ?p ?o ?g. }
Showing items 1 to 5 of
5
with 100 items per page.
- SynthKGQA type Workflow assertion.
- SynthKGQA label "SynthKGQA" assertion.
- SynthKGQA comment "SynthKGQA is an LLM-powered framework for generating high-quality Knowledge Graph Question Answering (KGQA) datasets. It uses LLMs to propose questions, ground-truth answer subgraphs, seed entities, and SPARQL queries from an existing KG, effectively constructing structured data and associated natural language for KGQA tasks." assertion.
- SynthKGQA subject LLMAugmentedKGConstruction assertion.
- SynthKGQA hasTopCategory LLMAugmentedKG assertion.