The Use of Large Language Models and Their Association With Enhanced Impact in Biomedical Research and Beyond

Huzi Cheng, Wen Shi, Bin Sheng, Aaron Y. Lee, Josip Car, Varun Chaudhary, Atanas G. Atanasov, Nan Liu, Yue Qiu, Qingyu Chen, Tien Yin Wong, Yih-Chung Tham, Ying-Feng Zheng
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Abstract

The release of ChatGPT in 2022 has catalyzed the adoption of large language models (LLMs) across diverse writing domains, including academic writing. However, this technological shift has raised critical questions regarding the prevalence of LLM usage in academic writing and its potential influence on the quality and impact of research articles. Here, we address these questions by analyzing preprint articles from arXiv, bioRxiv, and medRxiv between 2022 and 2024, employing a novel LLM usage detection tool. Our study reveals that LLMs have been widely adopted in biomedical and other types of academic writing since late 2022. Notably, we noticed that LLM usage is linked to an enhanced impact of research articles after examining their correlation, as measured by citation numbers. Furthermore, we observe that LLMs influence specific content types in academic writing, including hypothesis formulation, conclusion summarization, description of phenomena, and suggestions for future work. Collectively, our findings underscore the potential benefits of LLMs in scientific communication, suggesting that they may not only streamline the writing process but also enhance the dissemination and impact of research findings across disciplines.

Abstract Image

大型语言模型的使用及其与生物医学研究及其他领域的增强影响的关联
ChatGPT于2022年发布,促进了大型语言模型(llm)在不同写作领域的采用,包括学术写作。然而,这种技术转变提出了一些关键问题,如法学硕士在学术写作中的普遍使用,以及它对研究文章的质量和影响的潜在影响。在这里,我们通过分析arXiv, bioRxiv和medRxiv在2022年至2024年间的预印本文章来解决这些问题,采用了一种新的法学硕士使用检测工具。我们的研究表明,自2022年底以来,法学硕士已被广泛应用于生物医学和其他类型的学术写作。值得注意的是,我们注意到法学硕士的使用与研究文章的影响力增强有关,这是通过引用数量来衡量的。此外,我们观察到法学硕士对学术写作的具体内容类型有影响,包括假设提出、结论总结、现象描述和对未来工作的建议。总的来说,我们的研究结果强调了法学硕士在科学传播方面的潜在好处,表明它们不仅可以简化写作过程,还可以增强跨学科研究成果的传播和影响。
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