Revision is a crucial step in scientific writing, where authors refine their work to improve clarity, structure, and academic quality. Existing approaches to automated writing assistance often focus on sentence-level revisions, which fail to capture the broader context needed for effective modification. In this paper, we explore the impact of shifting from sentence-level to paragraph-level scope for the task of scientific text revision. The paragraph level definition of the task allows for more meaningful changes, and is guided by detailed revision instructions rather than general ones. To support this task, we introduce ParaRev, the first dataset of revised scientific paragraphs with an evaluation subset manually annotated with revision instructions. Our experiments demonstrate that using detailed instructions significantly improves the quality of automated revisions compared to general approaches, no matter the model or the metric considered.

本研究解决了现有自动写作辅助工具在句子级修订中无法有效捕捉上下文的问题，通过从句子级转向段落级修订，提出了全新的思路。研究发现，使用详细的修订指令显著提高了科学文本自动修订的质量，这为科学写作的自动化提供了重要的支持。 

ParaRev：构建带有修订指令注释的科学段落修订数据集