摘要
Abstract
[Purpose/Significance]This study investigates the application effectiveness and technical potential of gen-erative AI in Chinese bibliographic work,providing valuable insights for the technological empowerment of bibliography and the intelligent development of bibliographic practices.[Method/Process]Using the dual-model experimental approach with ERNIE Bot and DeepSeek,six typical bibliographic tasks were designed across three dimensions:document organization,document representation and document dissemination.These tasks were executed by generative AI models,with experimen-tal results evaluated and analyzed through a multidimensional hybrid assessment framework.[Results/Conclusion]Genera-tive AI demonstrates strong capabilities in Chinese bibliographic tasks,exhibiting higher technical adaptability in modern bibliography,structured tasks,and public-oriented scenarios.Future efforts should focus on constructing intelligent biblio-graphic systems with hybrid model architectures,overcoming capability bottlenecks in comprehensive bibliographic tasks and academic literature scenarios,while advancing theoretical and practical innovations in bibliographic control,recom-mended reading lists,and reading promotion.关键词
书目工作/DeepSeek/生成式AI/书目控制/导读书目Key words
bibliographic work/DeepSeek/generative AI/bibliographic Control/recommended reading lists
