Sohail Aamir, Zhang Lei
Centre for Human Brain Health, School of Psychology, University of Birmingham, Birmingham, B15 2TT UK.
Institute for Mental Health, School of Psychology, University of Birmingham, Birmingham, B15 2TT UK.
Curr Psychol. 2025;44(9):7910-7918. doi: 10.1007/s12144-025-07438-2. Epub 2025 Jan 28.
Large Language Models (LLMs) have significantly shaped working practices across a variety of fields including academia. Demonstrating a remarkable versatility, these models can generate responses to prompts with information in the form of text, documents, and images, show ability to summarize documents, perform literature searches, and even more, understand human behavior. However, despite providing many clear benefits, barriers remain toward their integration into academic work. Ethical and practical concerns regarding their suitability for various tasks further complicate their appropriate use. Here, we summarize recent advances assessing the capacity of LLMs for different components of academic research and teaching, focusing on three key areas in the psychological sciences: education and assessment, academic writing, and simulating human behavior. We discuss how LLMs can be used to aid each area, describe current challenges and good practices, and propose future directions. In doing so, we aim to increase the awareness and proper use of LLMs in various components of academic work, which will only feature more heavily over time.
大语言模型(LLMs)已经显著改变了包括学术界在内的各个领域的工作方式。这些模型展现出了非凡的通用性,能够根据提示生成以文本、文档和图像形式呈现信息的回复,具备总结文档、进行文献检索的能力,甚至还能理解人类行为。然而,尽管带来了诸多明显的益处,但将它们整合到学术工作中仍存在障碍。关于它们是否适用于各种任务的伦理和实际问题,进一步使它们的合理使用变得复杂。在此,我们总结了近期在评估大语言模型在学术研究和教学不同组成部分的能力方面取得的进展,重点关注心理学领域的三个关键方面:教育与评估、学术写作以及模拟人类行为。我们讨论了大语言模型如何能够用于辅助每个领域,描述了当前的挑战和良好实践,并提出了未来的方向。通过这样做,我们旨在提高人们对大语言模型在学术工作各个组成部分的认识并促进其合理使用,随着时间的推移,大语言模型在学术工作中的作用只会越来越重要。