Many people are interested in ChatGPT since it has become a prominent AIGC
model that provides high-quality responses in various contexts, such as
software development and maintenance. Misuse of ChatGPT might cause significant
issues, particularly in public safety and education, despite its immense
potential. The majority of researchers choose to publish their work on Arxiv.
The effectiveness and originality of future work depend on the ability to
detect AI components in such contributions. To address this need, this study
will analyze a method that can see purposely manufactured content that academic
organizations use to post on Arxiv. For this study, a dataset was created using
physics, mathematics, and computer science articles. Using the newly built
dataset, the following step is to put originality.ai through its paces. The
statistical analysis shows that Originality.ai is very accurate, with a rate of
98%.

通过分析在 Arxiv 上发布的学术组织制作的故意伪造内容的方法，本研究创建了使用物理学、数学和计算机科学文章的数据集，并发现 originality.ai 在检测中非常准确，准确率达到了 98%。