SUMMPILOT：在交互式摘要系统中平衡效率与定制化
SUMMPILOT: Bridging Efficiency and Customization for Interactive Summarization System
AI总结：
SUMMPILOT是一种通过交互式组件实现个性化摘要的系统，结合大型语言模型提升效率与定制化能力。
AI中文摘要：
本文结合自动摘要的效率，解决生成个性化摘要以满足个体用户兴趣和需求的挑战。为此，我们引入SummPilot，一种基于交互的可定制摘要系统。SummPilot利用大型语言模型来促进自动和交互式摘要。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来理解文档内容并个性化摘要。我们的演示和用户研究证明了SummPilot在可定制摘要中的适应性和实用性。
英文摘要：
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.
