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2026 , Vol. 70 >Issue 3: 3 - 11

DOI: https://doi.org/10.13266/j.issn.0252-3116.2026.03.001

EXPERT PERSPECTIVE

Large Language Models Paradigm-Based Computational Humanities Research

  • Huang Shuiqing ,
  • Qi Yue ,
  • Zhao Xue ,
  • Xu Qiankun ,
  • Wu Mengcheng
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  • 1 School of Information Management, Nanjing Agricultural University, Nanjing 210095;
    2 Research Center for Humanities and Social Computing, Nanjing Agricultural University, Nanjing 210095

Received date: 2025-06-20

  Revised date: 2025-08-27

  Online published: 2026-02-09

Supported by

This work is supported by the National Social Science Fund of China key project titled “Construction of Knowledge Base and Dictionary Compilation for Pre-Qin Philosophical Texts”(Grant No. 22&ZD262); the Jiangsu Provincial Social Science Foundation project titled “Research on the Construction and Application of Knowledge Graphs for Figures in the ‘Twenty-Four Histories’” (Grant No. 24TQB004); and project of the Fundamental Research Funds for the Central Universities of Nanjing Agricultural University, titled “Knowledge Organization and Data Mining of Characters in Classical Chinese Literature” (Grant No. SKYD2025039).

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Abstract

[Purpose/Significance] The development of large language models (LLMs) is profoundly impacting research in computational humanities, an interdisciplinary field, not only bringing breakthroughs in computational technologies but also driving a paradigm shift in research. Analyzing the influence of LLMs on the methodological framework of computational humanities is of great significance. [Method/Process] This article conducts an in-depth exploration of computational humanities research under the LLMs paradigm, reviews large language model technologies, particularly DeepSeek's technical framework, and clarifies the two key capabilities of LLMs' natural language understanding and generation. Based on the current applications of LLMs in the field, this paper reflects on existing challenges and limitations while envisioning future prospects for research under the LLMs paradigm. [Result/Conclusion] LLMs have opened new technical pathways for computational humanities, broadening research perspectives and methodologies, and facilitating a shift from computational tools to computational thinking. However, it is equally crucial to acknowledge their limitations and maintain a balanced approach when integrating cutting-edge methods with traditional humanities inquiries.

Key words： computational humanities; digital humanities; LLM; DeepSeek

Cite this article

Huang Shuiqing , Qi Yue , Zhao Xue , Xu Qiankun , Wu Mengcheng . Large Language Models Paradigm-Based Computational Humanities Research[J]. Library and Information Service, 2026 , 70(3) : 3 -11 . DOI: 10.13266/j.issn.0252-3116.2026.03.001

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