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Evaluation of Large Language Model Performance and Reliability for Citations and References in Scholarly Writing: Cross-Disciplinary Study

Evaluation of Large Language Model Performance and Reliability for Citations and References in Scholarly Writing: Cross-Disciplinary Study

While the potential of these tools is evident, it is essential to critically assess their performance, especially in the intricate domains of citations and references, which are the foundation of academic discourse and credibility. Citations and references serve as the backbone of scholarly communication, providing the necessary context, evidence, and credit to prior works, thus fostering intellectual dialogue and ensuring the integrity of the research process.

Joseph Mugaanyi, Liuying Cai, Sumei Cheng, Caide Lu, Jing Huang

J Med Internet Res 2024;26:e52935