文章摘要
人工智能阅读工具在引文真实性审查中的应用与分析——以ChatPDF为例
Application and analysis of artificial intelligence reading tools in authenticity review of citations: a case study of ChatPDF
投稿时间:2023-12-17  修订日期:2024-03-22
DOI:
中文关键词: 引文审查  人工智能  大型语言模型  ChatPDF
英文关键词: citation review  artificial intelligence  large language models(LLMs)  ChatPDF
基金项目:江苏高校哲学社会科学研究一般项目;扬州大学人文社会科学基金资助项目
作者单位邮编
文采* 《扬州大学学报(自然科学版)》编辑部 225009
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中文摘要:
      为提升科技论文的引文质量和引文编校的工作效率,提出采用人工智能阅读工具ChatPDF检测引文内容真实性的方法。针对不同引用对象和不同语种参考文献的引文,测试了ChatPDF在引文真实性检测中的实用效果,探讨了该工具在引文编校工作中的应用优势和局限性,指出合理使用ChatPDF在提高科技期刊引文内容审查工作的高效性和可靠性方面的应用价值,并强调编辑在运用人工智能技术时应持审慎反思的工作态度。
英文摘要:
      In order to enhance the citation quality and the efficiency of citation editing in scientific papers, a method is proposed to use the artificial intelligence reading tool ChatPDF to detect the authenticity of citation content. The practical effectiveness of ChatPDF in the detection of citation authenticity is tested for citations referencing different objects and references in different languages. The study explores the application advantages and limitations of the tool in citation editing work, pointing out the value of judiciously using ChatPDF to improve the efficiency and reliability of content review in scientific journal citations. It also emphasizes the need for editors to maintain a thoughtful and reflective attitude when applying artificial intelligence technology in their work.
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