This paper incorporates the efficiency of automatic summarization and addresses the challenge of generating personalized summaries tailored to individual users' interests and requirements. To tackle this challenge, we introduce SummPilot, an interaction-based customizable summarization system. SummPilot leverages a large language model to facilitate both automatic and interactive summarization. Users can engage with the system to understand document content and personalize summaries through interactive components such as semantic graphs, entity clustering, and explainable evaluation. Our demo and user studies demonstrate SummPilot's adaptability and usefulness for customizable summarization.

翻译：本文融合了自动摘要的高效性，并致力于解决生成符合个体用户兴趣与需求的个性化摘要的挑战。为应对这一挑战，我们提出了SummPilot，一个基于交互的可定制化摘要系统。SummPilot利用大语言模型来同时支持自动摘要和交互式摘要。用户可以通过语义图、实体聚类和可解释性评估等交互组件与系统互动，以理解文档内容并个性化摘要。我们的演示和用户研究表明，SummPilot在可定制化摘要方面具有出色的适应性和实用性。