节点文献
大语言模型范式下的计算人文研究
Large Language Models Paradigm-Based Computational Humanities Research
【摘要】 [目的/意义]大语言模型的发展正深刻影响着计算人文这一交叉领域的研究,不仅带来了计算技术的突破,更推动了研究范式的转变,探析大语言模型对于计算人文方法论体系的影响具有重要意义。[方法/过程]对大语言模型范式下的计算人文研究展开深入探讨,梳理大语言模型前沿技术特别是DeepSeek的技术框架,阐明大语言模型的自然语言理解与生成两种关键能力,结合大语言模型在计算人文领域的应用现状,反思当前研究存在的问题与挑战,展望大语言模型范式下计算人文研究的发展前景。[结果/结论 ]大语言模型为计算人文开辟了全新的技术路径,拓宽了研究视角与方法,正在逐步实现从计算工具到计算思维的转变。但同时也应正视其能力的局限,在融合前沿技术方法与传统人文问题时仍需有所把握。
【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 indepth 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.
- 【文献出处】 图书情报工作 ,Library and Information Service , 编辑部邮箱 ,2026年03期
- 【分类号】G250.7
- 【下载频次】172