SummPilot: Bridging Efficiency and Customization for Interactive Summarization System

2025-04-11

AAAI Conference on Artificial Intelligence

AI Summary

This work proposes SummPilot, an interactive and customizable summarization system powered by large language models that reconciles the efficiency of automated summarization with users’ personalized needs. For the first time, it integrates an interactive semantic graph, entity clustering, and an interpretable evaluation mechanism within a unified framework, enabling users to actively shape summary generation through visual exploration of semantic structures and key entities. By balancing automation with user control, SummPilot significantly enhances the utility and adaptability of generated summaries, as demonstrated in user studies. The results validate its effectiveness across diverse application scenarios requiring tailored summarization.

Technology Category

• Natural Language Processing: Summarization
• Data Mining & Knowledge Management: Data Visualization & Summarization
• Machine Learning: Large Multimodal Models (LMMs)

Application Category

• User Modeling, Personalization and Recommendation: Explainable and interpretable methods for personalization
• Semantics and Knowledge: Data modeling to support human-machine intelligence, including LLMs agents, intelligent system behavior, explanations, and user-friendly interactions
• Search and Retrieval-Augmented AI: Assisted, interactive, and conversational search

Abstract

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.

Problem

• interactive summarization
• personalized summarization
• customizable summarization
• user interests
• automatic summarization

Innovation

• interactive summarization
• customizable summarization
• large language model
• semantic graph
• explainable evaluation