Files
Graduate/0.1_abs&keyw.tex
2026-03-20 22:40:13 +08:00

25 lines
2.7 KiB
TeX
Raw Permalink Blame History

This file contains ambiguous Unicode characters
This file contains Unicode characters that might be confused with other characters. If you think that this is intentional, you can safely ignore this warning. Use the Escape button to reveal them.
% 摘要-{中文}{英文}
\Abstract{%
论文摘要是对论文研究内容的高度概括,应体现论文工作的核心思想。博士学
位论文的中文摘要一般约8001200字硕士学位论文的中文摘要一般约500字。摘
要内容应涉及本项科研工作的目的和意义、研究思想和方法、研究成果和结论,博
士学位论文应突出论文的创造性成果,硕士学位论文应突出论文的新见解。应具有
独立性和自含性,即应是一篇简短但意义完整的文章。论文摘要中不要出现图片、
图表、表格或其他插图材料。
论文的关键词,是为了文献标引工作从论文中选取出来用以表示全文主题内容
信息的单词或术语关键词一般为35个按词条的外延层次排列外延大的排在
前面)。每个关键词之间用逗号间隔,最后一个关键词后不缀标点符号。
论文摘要的中文版与英文版文字内容要对应。从中文摘要开始编写页码并采用
双面印刷。“Keywords”与中文摘要部分的关键词对应每个关键词之间用逗号间隔。
}{
The abstract is a concise summary of the research content of the thesis, reflecting the core ideas of the work. For a doctoral dissertation, the Chinese abstract is typically around 8001,200 words, while for a master's thesis, it is generally about 500 words. The abstract should address the purpose and significance of the research, the methodology and approach, as well as the key findings and conclusions. Doctoral dissertations should emphasize original contributions, while master's theses should highlight novel insights. The abstract must be self-contained and independent, functioning as a complete yet concise standalone text. Figures, charts, tables, or other illustrative materials should not appear in the abstract.
Keywords are terms or phrases selected from the thesis to represent the main thematic content for indexing purposes. Typically, 35 keywords are required, arranged in hierarchical order of scope (with broader terms listed first). Keywords are separated by semicolons, with no punctuation following the last keyword.
The Chinese and English versions of the abstract must align in content. Page numbering begins with the Chinese abstract, and the document should be printed double-sided. The "Keywords" section in the English abstract corresponds to the Chinese version, with terms similarly separated by semicolons.
}
% 关键字-{中文}{英文}
\Keyword{大语言模型,参数高效微调,结构异质性,表征适配,结构感知调制}{Large Language Model, Parameter-Efficient Fine-Tuning, Structural Heterogeneity, Representation Adaptation, Structure-Aware Modulation}