Current approaches to automatic summarization of scientific papers generate
informative summaries in the form of abstracts. However, abstracts are not
intended to show the relationship between a paper and the references cited in
it. We propose a new contextualized summarization approach that can generate an
informative summary conditioned on a given sentence containing the citation of
a reference (a so-called ``citance''). This summary outlines the content of the
cited paper relevant to the citation location. Thus, our approach extracts and
models the citances of a paper, retrieves relevant passages from cited papers,
and generates abstractive summaries tailored to each citance. We evaluate our
approach using $\textbf{Webis-Context-SciSumm-2023}$, a new dataset containing
540K~computer science papers and 4.6M~citances therein.

提出一种新的上下文化摘要方法，该方法可以根据含有引用文献的句子（称为 “引文”）生成信息丰富的摘要，概述了引文相关引用位置的文献内容，该方法提取和建模论文的引文，检索相关的引用文献段落，并生成针对每个引文的抽象摘要。