{
  "added_at": "2026-11-06",
  "arxiv_id": "1905.08325",
  "arxiv_version_reviewed": "v1",
  "authors": [
    "Omer Katz",
    "Yuval Olshaker",
    "Yoav Goldberg",
    "Eran Yahav"
  ],
  "bibtex_url": "https://awesomerea.org/papers/citations/paper-neural-decompilation.bib",
  "code_url": null,
  "date_basis": "First arXiv submission date.",
  "date_basis_zh": "arXiv 首次提交日期。",
  "date_precision": "day",
  "description_en": "The paper trains a neural machine translation decompiler using a compiler. It evaluates translation from LLVM IR and x86 assembly to C, successfully decompiling over 97% and 88% of its respective benchmarks.",
  "description_zh": "论文利用编译器训练基于神经机器翻译的反编译器，并评估将 LLVM IR 和 x86 汇编转换为 C 代码的效果；两组基准的成功率分别超过 97% 和 88%。",
  "doi": null,
  "entry_url": "https://awesomerea.org/papers/paper-neural-decompilation/",
  "entry_url_zh": "https://awesomerea.org/zh/papers/paper-neural-decompilation/",
  "evidence_urls": [
    "https://arxiv.org/abs/1905.08325"
  ],
  "first_arxiv_date": "2019-05-20",
  "id": "paper-neural-decompilation",
  "json_url": "https://awesomerea.org/papers/paper-neural-decompilation/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/papers/paper-neural-decompilation/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/papers/paper-neural-decompilation/index.md",
  "metadata_notes": "The date and venue come from the arXiv record.",
  "metadata_notes_zh": "日期和发表场所来自 arXiv 记录。",
  "pdf_url": "https://arxiv.org/pdf/1905.08325",
  "project_url": null,
  "publication_date": "2019-05-20",
  "publication_status": "preprint",
  "record_type": "paper",
  "runtime_tested": false,
  "scope_limitations_en": "The evaluation covers LLVM IR and x86 assembly translated to C on the paper's benchmarks.",
  "scope_limitations_zh": "评估范围是在论文使用的基准上，将 LLVM IR 和 x86 汇编转换为 C 代码。",
  "targets": [
    "binary"
  ],
  "title": "Towards Neural Decompilation",
  "title_zh": "迈向神经网络反编译",
  "url": "https://arxiv.org/abs/1905.08325",
  "venue": "arXiv",
  "verification": "source-reviewed",
  "verified_at": "2026-11-06",
  "why_fits_en": "It addresses reverse engineering by recovering human-readable source code from low-level program representations.",
  "why_fits_zh": "论文从低级程序表示恢复人类可读的源代码，属于逆向工程研究。",
  "year": 2019
}