Summarizing lengthy documents is a common and essential task in our daily lives. Although recent advancements in neural summarization models can assist in crafting general-purpose summaries, human writers often have specific requirements that call for a more customized approach. To address this need, we introduce REVISE (Refinement and Editing via Iterative Summarization Enhancement), an innovative framework designed to facilitate iterative editing and refinement of draft summaries by human writers. Within our framework, writers can effortlessly modify unsatisfactory segments at any location or length and provide optional starting phrases -- our system will generate coherent alternatives that seamlessly integrate with the existing summary. At its core, REVISE incorporates a modified fill-in-the-middle model with the encoder-decoder architecture while developing novel evaluation metrics tailored for the summarization task. In essence, our framework empowers users to create high-quality, personalized summaries by effectively harnessing both human expertise and AI capabilities, ultimately transforming the summarization process into a truly collaborative and adaptive experience.

翻译：对长篇文档进行摘要是我们日常工作中常见且重要的任务。尽管近年来神经摘要模型的进步能够辅助生成通用型摘要，但人类作者往往需要更定制化的方法来满足特定要求。为应对这一需求，我们提出REVISE（通过迭代摘要增强进行精炼与编辑）框架，该创新框架旨在支持人类作者对草稿摘要进行迭代编辑与优化。在该框架中，用户可随意修改任意位置或长度的不满意段落，并提供可选的起始短语——系统将生成与现有摘要无缝衔接的连贯替代方案。REVISE的核心在于融合了修改版填充中间模型与编码器-解码器架构，同时开发了针对摘要任务的新型评估指标。本质上，该框架通过有效整合人类专家能力与AI能力，使用户能够创建高质量、个性化的摘要，最终将摘要过程转变为真正的协作式自适应体验。