This paper is in the following e-collection/theme issue:

Letters to the Editor (23) Artificial Intelligence (AI) in Medical Education (209) Registered Report (817) Theme Issue: ChatGPT and Generative Language Models in Medical Education (115) Generative Language Models Including ChatGPT (760) Chatbots and Conversational Agents (767) e-Learning and Digital Medical Education (932) Student/Learners Perceptions and Experiences with Educational Technology (125) Artificial Intelligence (2252)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/72998, first published .
Citation Accuracy Challenges Posed by Large Language Models

Citation Accuracy Challenges Posed by Large Language Models

Citation Accuracy Challenges Posed by Large Language Models

Authors of this article:

Manlin Zhang1 Author Orcid Image ;   Tianyu Zhao2 Author Orcid Image
Article Authors Cited by (4) Tweetations Metrics

Journals

  1. Temsah M, Al-Eyadhy A, Jamal A, Alhasan K, Malki K. Authors’ Reply: Citation Accuracy Challenges Posed by Large Language Models. JMIR Medical Education 2025;11:e73698 View
  2. Kim E, Kipchumba F, Min S. Geographic Variation in LLM DOI Fabrication: Cross-Country Analysis of Citation Accuracy Across Four Large Language Models. Publications 2025;13(4):49 View
  3. Hack S, Zalzal H, Attal R, Farzad A, Crew L, Tessler I, Frankel T, Gvili B, Shivatzki S, Wolfovitz A, Rozendorn N. Empowering front-line physicians with AI: Evaluating large language models in everyday ENT care. The American Journal of Emergency Medicine 2026;102:90 View
  4. Georgiou G. Key Features to Distinguish Between Human- and AI-Generated Texts: Perspectives from University Professors. AI in Education 2026;2(1):2 View