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With the relentless growth in the volume of academic publications and the accelerating speed of scholarly communication, the time researchers dedicate to literature surveys has become increasingly substantial. Automatic literature survey generation offers a valuable solution, liberating researchers from the time-intensive task of manually surveying the literature. We organized the NLPCC2024 Shared Task 6 for scientific literature survey generation. This paper will summarize the task information, the data set, the methods used by participants and the final results. Furthermore, we will discuss key findings and challenges for scientific literature survey generation in the scientific domain.

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Overview of the NLPCC2024 Shared Task 6: Scientific Literature Survey Generation

  • 会议论文

  • 发表日期：

    2025年

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  • Yangjie Tian,
  • Xungang Gu,
  • Aijia Li,
  • He Zhang,
  • Ruohua Xu,
  • Yunfeng Li,
  • Ming Liu

摘要

With the relentless growth in the volume of academic publications and the accelerating speed of scholarly communication, the time researchers dedicate to literature surveys has become increasingly substantial. Automatic literature survey generation offers a valuable solution, liberating researchers from the time-intensive task of manually surveying the literature. We organized the NLPCC2024 Shared Task 6 for scientific literature survey generation. This paper will summarize the task information, the data set, the methods used by participants and the final results. Furthermore, we will discuss key findings and challenges for scientific literature survey generation in the scientific domain.