Title: Comparative prevalence and characteristics of fabricated citations in large language models in headache medicine.
Authors: Moskatel, Leon S.; Zhang, Niushen
Abstract: The article investigates the prevalence of fabricated citations generated by large language models, specifically focusing on Chat Generative Pre-trained Transformer (ChatGPT) in the field of headache medicine. Topics include the methodology used to assess fabricated citations, the comparison of ChatGPT-3.5 and ChatGPT-4 in citation accuracy, and the potential implications for scientific writing and literature review.
Subjects: MIGRAINE prevention; HEADACHE treatment; ONLINE information services; NATURAL language processing; MATHEMATICAL models; ARTIFICIAL intelligence; MEDICAL technology; MACHINE learning; ACQUISITION of data; COMPARATIVE studies; DISEASE prevalence; SYMPTOMS; THEORY; DESCRIPTIVE statistics; MEDICAL writing; MEDLINE; ELECTRONIC publications; MEDICAL informatics; SECONDARY analysis
Publication: Headache: The Journal of Head & Face Pain, 2024, Vol 64, Issue 1, p93
ISSN: 0017-8748
Publication type: Academic Journal
DOI: 10.1111/head.14638

Comparative prevalence and characteristics of fabricated citations in large language models in headache medicine.

Moskatel, Leon S.; Zhang, Niushen