Techniques for supercharging academic writing with generative AI

被引：11

作者：

Lin, Zhicheng ^{[1
]}

机构：

[1] Univ Sci & Technol China, Hefei, Peoples R China

来源：

NATURE BIOMEDICAL ENGINEERING | 2025年 / 9卷 / 04期

基金：

中国国家自然科学基金; 国家重点研发计划;

关键词：

CHATGPT;

D O I：

10.1038/s41551-024-01185-8

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

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

引用

页码：426 / 431

页数：6

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