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Techniques for supercharging academic writing with generative AI

Nature Biomedical Engineering (2024)Cite this article

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Generalist large language models can elevate the quality and efficiency of academic writing.

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Acknowledgements

The writing of this Comment was supported by the National Key R&D Program of China STI2030 Major Projects (2021ZD0204200), the National Natural Science Foundation of China (32071045) and the Shenzhen Fundamental Research Program (JCYJ20210324134603010). The author used GPT-4 (https://chat.openai.com) and Claude (https://claude.ai) alongside prompts from Box 1 to help write earlier versions of the text and to edit it. The text was then developmentally edited by the journal’s Chief Editor with basic-editing and structural-editing assistance from Claude, and checked by the author.

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  1. University of Science and Technology of China, Hefei, China

    Zhicheng Lin

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  1. Zhicheng Lin
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Correspondence to Zhicheng Lin.

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Nature Biomedical Engineering thanks Serge Horbach and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Lin, Z. Techniques for supercharging academic writing with generative AI. Nat. Biomed. Eng (2024). https://doi.org/10.1038/s41551-024-01185-8

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