A day in the life of ChatGPT as an academic reviewer: Investigating the potential of large language model for scientific literature review

Abstract

In this paper, we investigate the potential of large language model for scientific literature review. The exponential growth of research papers is placing an increasing burden on human reviewers, making it challenging to maintain efficient and reliable review processes. To address this, we explore the use of ChatGPT to assist with the review process. Our experiments demonstrate that ChatGPT can review the papers followed by the sentiment analysis of the review of research papers and provide insights into their potential for acceptance or rejection. Although our study is limited to a small sample of papers, the results are promising and suggest that further research in this area is warranted. We note that the use of large language models for scientific literature review is still in its early stages, and there are many challenges to be addressed. Nonetheless, our work highlights the potential of these models to augment the traditional peer-review process, providing a new perspective on research papers and potentially accelerating the pace of scientific discovery and innovation.

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