Key Applications of Large Language Models (LLMs) in Academic Research (IMAGE)
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Large language models are predominantly applied in four major academic domains: (1) Research Paper Writing Assistance: LLMs facilitate manuscript preparation through translation services, comprehensive proofreading, and multiple perspective analysis, while simultaneously managing auxiliary tasks such as data organization, thereby substantially enhancing research productivity. (2) Research Data Analysis Support: LLMs exhibit emerging capabilities in dataset compilation, analytical processing, and automated code generation, leading to significant improvements in research efficiency. (3) Academic Visualization Generation: LLMs enhance the traditional visualization process through automated generation of scientific illustrations and data representations, facilitating more effective communication of research findings. (4) Academic Peer Review Support: LLMs contribute to both manuscript self-assessment and formal review processes by providing systematic content evaluation and generating structured review feedback.This figure was created based on the tools provided by Biorender.com (accessed on 20/08/2025)
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Anqi Lin, Zuwei Chen, Aimin Jiang, Bufu Tang, Chang Qi, Lingxuan Zhu, Weiming Mou, Wenyi Gan, Dongqiang Zeng, Mingjia Xiao, Guangdi Chu, Shengkun Peng, Hank Z.H. Wong, Lin Zhang, Hengguo Zhang, Xinpei Deng, Quan Cheng, Jian Zhang, Peng Luo
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