Using large language models to write theses and dissertations

Q1 Economics, Econometrics and Finance
Daniel E. O'Leary
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引用次数: 0

Abstract

There has been substantial discussion aimed at investigating the extent to which academic researchers can or should “use” large language models, such as ChatGPT and Bard, in their research papers. However, there seems to have been limited attention given to the extent to which students can use these tools for the development of theses, proposals and dissertations. This paper pushes the arguments from focusing on academic researchers, journal papers, and technical meetings to considering those theses and dissertations, raising several questions and concerns. Ultimately, university policies need to address these issues, but if publisher and editor responses and alternative business uses are a signal of that direction, consensus may be difficult to achieve.

Abstract Image

使用大型语言模型撰写论文和学位论文
学术研究人员可以或应该在多大程度上在其研究论文中 "使用 "大型语言模型(如 ChatGPT 和 Bard),对此已经进行了大量讨论。然而,对于学生可以在多大程度上利用这些工具来撰写论文、建议书和毕业论文,人们的关注似乎还很有限。本文将论点从关注学术研究人员、期刊论文和技术会议推进到考虑这些论文和学位论文,并提出了几个问题和关注点。归根结底,大学政策需要解决这些问题,但如果出版商和编辑的回应以及替代性商业用途是这一方向的信号,则可能难以达成共识。
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来源期刊
Intelligent Systems in Accounting, Finance and Management
Intelligent Systems in Accounting, Finance and Management Economics, Econometrics and Finance-Finance
CiteScore
6.00
自引率
0.00%
发文量
0
期刊介绍: Intelligent Systems in Accounting, Finance and Management is a quarterly international journal which publishes original, high quality material dealing with all aspects of intelligent systems as they relate to the fields of accounting, economics, finance, marketing and management. In addition, the journal also is concerned with related emerging technologies, including big data, business intelligence, social media and other technologies. It encourages the development of novel technologies, and the embedding of new and existing technologies into applications of real, practical value. Therefore, implementation issues are of as much concern as development issues. The journal is designed to appeal to academics in the intelligent systems, emerging technologies and business fields, as well as to advanced practitioners who wish to improve the effectiveness, efficiency, or economy of their working practices. A special feature of the journal is the use of two groups of reviewers, those who specialize in intelligent systems work, and also those who specialize in applications areas. Reviewers are asked to address issues of originality and actual or potential impact on research, teaching, or practice in the accounting, finance, or management fields. Authors working on conceptual developments or on laboratory-based explorations of data sets therefore need to address the issue of potential impact at some level in submissions to the journal.
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