@inproceedings{tang-etal-2026-demonstrating,
    title = "Demonstrating {V}ivi{D}oc: Generating Interactive Documents through Human-Agent Collaboration",
    author = "Tang, Yinghao  and
      Xie, Yupeng  and
      Feng, Yingchaojie  and
      Lan, Tingfeng  and
      Chen, Wei",
    editor = "Durrett, Greg  and
      Jian, Ping",
    booktitle = "Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 3: System Demonstrations)",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.acl-demo.79/",
    pages = "804--811",
    ISBN = "979-8-89176-392-0",
    abstract = "Interactive articles help readers engage with complex ideas through exploration, yet creating them remains costly, requiring both domain expertise and web development skills. Recent LLM-based agents can automate content creation, but naively applying them yields uncontrollable and unverifiable outputs. We present Vividoc, a human-agent collaborative system that generates interactive educational documents from a single topic input. Vividoc introduces a multi-agent pipeline (Planner, Executor, Evaluator) and the Document Specification (DocSpec), a human-readable intermediate representation that decomposes each interactive visualization into State, Render, Transition, and Constraint components. The DocSpec enables educators to review and refine generation plans before code is produced, bridging the gap between pedagogical intent and executable output. We collect a dataset of 101 real-world interactive documents across 11 domains and conduct a user study showing that ViviDoc produces documents comparable in quality to human-authored ones. Our demo is available at \url{https://vividoc.vercel.app/} and a video demonstration at \url{https://www.youtube.com/watch?v=rJrnPJLyHUI}."
}