ML Anthology

SummPilot: Bridging Efficiency and Customization for Interactive Summarization System

Jungmin Yun, Juhwan Choi, Kyohoon Jin, Soojin Jang, Jinhee Jang, YoungBin Kim
AAAI 2025 pp. 29724-29726
doi:10.1609/AAAI.V39I28.35380 /aaai/2025/yun2025aaai-summpilot/

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.

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Cite

Text

Yun et al. "SummPilot: Bridging Efficiency and Customization for Interactive Summarization System." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I28.35380

Markdown

[Yun et al. "SummPilot: Bridging Efficiency and Customization for Interactive Summarization System." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/yun2025aaai-summpilot/) doi:10.1609/AAAI.V39I28.35380

BibTeX

@inproceedings{yun2025aaai-summpilot,
  title     = {{SummPilot: Bridging Efficiency and Customization for Interactive Summarization System}},
  author    = {Yun, Jungmin and Choi, Juhwan and Jin, Kyohoon and Jang, Soojin and Jang, Jinhee and Kim, YoungBin},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {29724-29726},
  doi       = {10.1609/AAAI.V39I28.35380},
  url       = {https://mlanthology.org/aaai/2025/yun2025aaai-summpilot/}
}