Large Language Model-Based Text-to-Cypher Generation for Question-Answering on Biomedical Knowledge Graphs.

Saved in:

Bibliographic Details
Title:	Large Language Model-Based Text-to-Cypher Generation for Question-Answering on Biomedical Knowledge Graphs.
Authors:	Seeha S; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital., Abdelmoula A; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital., Boeker M; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital., Modersohn L; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital., Pallaoro P; Technical University of Munich, TUM School of Medicine and Health, Institute for AI and Informatics in Medicine (AIIM), TUM University Hospital.; Technical University of Munich, TUM School of Medicine and Health, Data Integration Center, TUM University Hospital.
Source:	Studies in health technology and informatics [Stud Health Technol Inform] 2026 Sep 17; Vol. 340, pp. 179-186.
Publication Type:	Journal Article
Journal Info:	Publisher: IOS Press Country of Publication: Netherlands NLM ID: 9214582 Publication Model: Print Cited Medium: Internet ISSN: 1879-8365 (Electronic) Linking ISSN: 09269630 NLM ISO Abbreviation: Stud Health Technol Inform Subsets: MEDLINE
Database:	MEDLINE Ultimate

Description
ISSN:	1879-8365
DOI:	10.3233/SHTI261000