Large Language Model-Based Text-to-Cypher Generation for Question-Answering on Biomedical Knowledge Graphs.
Few-shot prompting heavily improves query generation quality and enables effective use of smaller models, supporting the practical deployment of locally hosted LLMs for knowledge graph question answering.
Suteera Seeha, Adem Abdelmoula, M. Boeker et al.
· Studies in Health Technology... · 0 citations