Research on the assistance of domestic AIGC large models in the preliminary review of manuscripts:taking papers in the field of information science as an example
Research on the assistance of domestic AIGC large models in the preliminary review of manuscripts:taking papers in the field of information science as an example
This article aims to explore the application effects of domestic generative artificial intelligence(AIGC)large models in the initial review stage of information science papers,in order to address the issues of low efficiency and strong subjectivity associated with traditional manual initial reviews.By simulating the real submission process of editorial departments,213 papers were selected as experimental manuscripts for initial review using domestic large models,and comprehensive evaluations were conducted using commonly used evaluation metrics in artificial intelligence.The results show that both Wenxin Yiyan and Tongyi Qianwen can not only provide clear suggestions and detailed analyses but also perform well on multiple key indicators,significantly reducing the workload of manual labor.Finally,the"AI+initial review"workflow constructed based on this provides a specific implementation plan for the intelligent transformation of initial review work.Although AIGC cannot completely replace manual initial reviews,in the human-machine collaborative initial review mode,domestic large models can assist in improving the efficiency of the initial review of information science journals.
关键词
生成式人工智能(AIGC)/国产大模型/论文初审/人机协同/"AI+初审"工作流程
Key words
artificial intelligence generated content(AIGC)/domestic large model/paper preliminary review/human-computer collaboration/"AI+preliminary review"workflow
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