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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

In the ever-evolving landscape of scholarly research and academic discourse, the role of technology in aiding and enhancing the research process has grown exponentially. One of the most notable advancements in this regard is the emergence of large language models (LLMs) such as GPT-3.5, which have demonstrated impressive capabilities in generating written content across various domains, including academic writing.

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

J Med Internet Res 2024;26:e52935