{
  "added_at": "2026-10-16",
  "arxiv_id": "2403.03163",
  "arxiv_version_reviewed": "v3",
  "authors": [
    "Chenglei Si",
    "Yanzhe Zhang",
    "Ryan Li",
    "Zhengyuan Yang",
    "Ruibo Liu",
    "Diyi Yang"
  ],
  "bibtex_url": "https://awesomerea.org/papers/citations/paper-design2code.bib",
  "code_url": "https://github.com/NoviScl/Design2Code",
  "date_basis": "ACL proceedings publication month",
  "date_basis_zh": "ACL 会议论文集的出版月份。",
  "date_precision": "month",
  "description_en": "Evaluates reconstruction of frontend code from webpage screenshots using real-world reference pages, visual-element and layout metrics, and human assessment.",
  "description_zh": "使用真实网页参考、视觉元素和布局指标及人工评估，测试从网页截图重建前端代码的能力。",
  "doi": "10.18653/v1/2025.naacl-long.199",
  "entry_url": "https://awesomerea.org/papers/paper-design2code/",
  "entry_url_zh": "https://awesomerea.org/zh/papers/paper-design2code/",
  "evidence_urls": [
    "https://aclanthology.org/2025.naacl-long.199/",
    "https://aclanthology.org/2025.naacl-long.199.pdf",
    "https://arxiv.org/abs/2403.03163",
    "https://arxiv.org/abs/2403.03163v1",
    "https://salt-nlp.github.io/Design2Code/",
    "https://github.com/NoviScl/Design2Code",
    "https://github.com/NoviScl/Design2Code/blob/7a575e4c33f417c4be5c64072b8f5798de0d0f99/README.md"
  ],
  "first_arxiv_date": "2024-03-05",
  "id": "paper-design2code",
  "json_url": "https://awesomerea.org/papers/paper-design2code/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/papers/paper-design2code/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/papers/paper-design2code/index.md",
  "metadata_notes": "Use the final NAACL 2025 title and six-author list. arXiv v1 (2024-03-05) and the project page’s BibTeX use the earlier title “Design2Code: How Far Are We From Automating Front-End Engineering?” and list five authors without Ryan Li; v2 and the reviewed v3 match the final title and authors. SALT-NLP/Design2Code hosts the project website, whereas NoviScl/Design2Code is the verified research-code repository.",
  "metadata_notes_zh": "采用正式 NAACL 2025 标题及六位作者名单。arXiv v1（2024-03-05）和项目页 BibTeX 使用较早的标题“Design2Code: How Far Are We From Automating Front-End Engineering?”，只列五位作者，未含 Ryan Li；v2 和本次核对的 v3 已与正式标题及作者一致。SALT-NLP/Design2Code 托管项目网站，NoviScl/Design2Code 才是已确认的研究代码仓库。",
  "pdf_url": "https://aclanthology.org/2025.naacl-long.199.pdf",
  "project_url": "https://salt-nlp.github.io/Design2Code/",
  "publication_date": "2025-04",
  "publication_status": "conference-paper",
  "record_type": "paper",
  "runtime_tested": false,
  "scope_limitations_en": "This is visual website reconstruction, not binary decompilation or recovery of backend behavior and interactive workflows. The main benchmark contains 484 webpages with placeholder images; code and data have separate licensing terms.",
  "scope_limitations_zh": "该工作属于网站视觉重建，不涉及二进制反编译，也不恢复后端行为或交互工作流。主基准含 484 个使用占位图的网页，代码与数据分别采用各自的许可条款。",
  "targets": [
    "website"
  ],
  "title": "Design2Code: Benchmarking Multimodal Code Generation for Automated Front-End Engineering",
  "title_zh": "Design2Code：面向自动化前端工程的多模态代码生成评测",
  "url": "https://aclanthology.org/2025.naacl-long.199/",
  "venue": "NAACL 2025",
  "verification": "source-reviewed",
  "verified_at": "2026-10-17",
  "why_fits_en": "Directly supports the collection's screenshot-to-website reconstruction scope while keeping visual fidelity separate from behavioral equivalence.",
  "why_fits_zh": "直接支持集合中的截图到网站重建主题，并明确区分视觉相似度与行为等价性。",
  "year": 2025
}
