In November 2022, OpenAI released the Generative Artificial Intelligence (AI) tool ChatGPT. Given that generative AI can quickly create content such as text and images, ChatGPT has emerged as an author in some academic papers two months later. Sawas Papajanis, a digital innovation researcher at the University of Newcastle in the UK, said that in this highly competitive field of academia, any tool that can increase researchers' academic output is a "hot potato". The website of the British journal Nature recently reported that large language models (LLMs) such as ChatGPT are reshaping the landscape of scientific writing and publishing. But while these tools improve productivity, they may also have negative impacts. Publishers and scientists must consider how to use these tools more ethically and ethically, as well as the impact of excessive reliance on these tools on academic research prospects. Transforming into a scientist's right-hand man LLM can help scientists write code, review literature, and engage in brainstorming. In addition, LLM tools are constantly improving, and researchers with relevant skills can even develop their own personalized LLM based on their writing style and research field. In 2023, the journal Nature conducted a survey of over 1600 scientists. Nearly 30% of respondents stated that they have used generative AI tools to assist in writing papers; About 15% of people reported using these tools to help write research funding applications. In this survey, approximately 55% of respondents believe that a major benefit of generative AI is its ability to edit and translate papers for researchers whose native language is not English. A public opinion survey conducted by the European Research Council (ERC) in December 2023 also showed that 75% of over 1000 ERC funders believe that generative AI tools will reduce language barriers in research; 85% of people believe that generative AI can undertake repetitive or labor-intensive tasks, such as literature reviews; 38% of people believe that generative AI will improve scientific productivity, such as helping researchers write papers faster. It is more difficult to generate AI by filtering out valuable papers, and it may also produce some absurd or untrue content unrelated to the source, which is called "illusion". Experts believe that LLM is expected to increase academic output. This may seem beautiful, but it also brings another problem: the journal's submission volume has significantly increased, causing editors and peer reviewers to be overwhelmed. Papajanis stated that it is already difficult to select meaningful research from a large number of published papers, and if ChatGPT and other LLMs significantly increase paper output, selecting valuable papers from them will be more challenging. In this environment, researchers should focus their work on writing truly high-level papers. The current academic model of "no publication, no access" requires researchers to publish their research papers quickly and continuously. But this needs to be changed, and the academic community should establish a new system where quality is more important than quantity. Some institutions have already realized this, such as the German Research Foundation