{
  "added_at": "2026-10-18",
  "arxiv_id": null,
  "arxiv_version_reviewed": null,
  "authors": [
    "Chuhuai Yue",
    "Jiajun Chai",
    "Yufei Zhang",
    "Zixiang Ding",
    "Xihao Liang",
    "Peixin Wang",
    "Shihai Chen",
    "Wang Yixuan",
    "Yanping Wang",
    "Guojun Yin",
    "Wei Lin"
  ],
  "bibtex_url": "https://awesomerea.org/papers/citations/paper-uiorchestra.bib",
  "citation": {
    "container_title": "Findings of the Association for Computational Linguistics: EMNLP 2025",
    "pages": "2769-2782",
    "publisher": "Association for Computational Linguistics",
    "sources": [
      "https://aclanthology.org/2025.findings-emnlp.150/",
      "https://api.crossref.org/works/10.18653/v1/2025.findings-emnlp.150"
    ]
  },
  "code_url": null,
  "date_basis": "The official ACL Anthology citation gives November 2025. Crossref records only the year; the November 4–9 conference dates printed in the PDF are not treated as a publication day.",
  "date_basis_zh": "ACL Anthology 官方引文给出 2025 年 11 月。Crossref 仅记录年份；PDF 中的 11 月 4–9 日会议日期不作为具体出版日。",
  "date_precision": "month",
  "description_en": "UIOrchestra converts static mobile UI designs into React/CSS through layout-description, code-generation and rendered-image comparison agents. Its APPUI benchmark contains 1,101 human-refined code/rendering pairs based on screenshots from 165 apps across 12 categories. The reference code is reconstructed for evaluation, rather than recovered original application source.",
  "description_zh": "UIOrchestra 通过布局描述、代码生成及渲染图像比较三个智能体，将静态移动 UI 设计转换为 React/CSS。其 APPUI 基准包含 1,101 组经人工修订的代码与渲染图像，依据 12 类中的 165 款应用截图构建。参考代码为评测而重建，并非恢复出的原始应用源码。",
  "doi": "10.18653/v1/2025.findings-emnlp.150",
  "entry_url": "https://awesomerea.org/papers/paper-uiorchestra/",
  "entry_url_zh": "https://awesomerea.org/zh/papers/paper-uiorchestra/",
  "evidence_urls": [
    "https://aclanthology.org/2025.findings-emnlp.150/",
    "https://aclanthology.org/2025.findings-emnlp.150.pdf",
    "https://api.crossref.org/works/10.18653/v1/2025.findings-emnlp.150",
    "https://gjyin.github.io/"
  ],
  "first_arxiv_date": null,
  "id": "paper-uiorchestra",
  "json_url": "https://awesomerea.org/papers/paper-uiorchestra/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/papers/paper-uiorchestra/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/papers/paper-uiorchestra/index.md",
  "metadata_notes": "Reviewed the final 14-page proceedings PDF. Its eleven-author order is retained, including Yanping Wang where ACL/Crossref metadata renders Wangyanping; Wang Yixuan is preserved as printed. No arXiv version was verified. The paper promises a code/data release, but the reviewed coauthor page has disabled code/project placeholders and no attributable release or artifact license was verified. Code/project URLs therefore remain unset. The paper is covered by ACL’s CC BY 4.0 policy.",
  "metadata_notes_zh": "审阅最终 14 页会议论文 PDF，保留其中十一位作者的顺序，包括 ACL／Crossref 元数据写作 Wangyanping 的 Yanping Wang；Wang Yixuan 按论文原样保留。未核实 arXiv 版本。论文承诺发布代码与数据，但所审阅的合作者主页中，代码／项目链接仍是禁用的占位链接；未核实可归属于作者的发布产物或其许可，因此代码／项目 URL 留空。论文适用 ACL 的 CC BY 4.0 政策。",
  "pdf_url": "https://aclanthology.org/2025.findings-emnlp.150.pdf",
  "project_url": null,
  "publication_date": "2025-11",
  "publication_status": "conference-paper",
  "record_type": "paper",
  "runtime_tested": false,
  "scope_limitations_en": "Tests visual, component and code similarity, not native-package execution, interaction, backend behavior or application equivalence. APPUI references are rendered reconstructions of iOS screenshots; unavailable images/icons use placeholders. A human study covers 200 samples with four annotators. The difference-analysis prompt ignores font-size/typeface differences and placeholder image content.",
  "scope_limitations_zh": "评测视觉、组件及代码相似度，不验证原生安装包执行、交互、后端行为或应用等价性。APPUI 参考图像来自对 iOS 截图所做重建的渲染结果；无法获取的图片／图标使用占位素材。人工研究由四位标注者评估 200 个样本。差异分析提示词忽略字号／字体差异及占位图像内容。",
  "targets": [
    "app",
    "website"
  ],
  "title": "UIOrchestra: Generating High-Fidelity Code from UI Designs with a Multi-agent System",
  "title_zh": "UIOrchestra：通过多智能体系统将 UI 设计转换为高保真代码",
  "url": "https://aclanthology.org/2025.findings-emnlp.150/",
  "venue": "Findings of EMNLP 2025",
  "verification": "source-reviewed",
  "verified_at": "2026-10-18",
  "why_fits_en": "Adds a mobile-oriented screenshot reconstruction method and benchmark with explicit human-built reference data; also evaluates on Design2Code-hard webpages.",
  "why_fits_zh": "补充面向移动界面的截图重建方法与基准，明确参考数据由人工参与构建，并在 Design2Code-hard 网页上开展评测。",
  "year": 2025
}