{
  "added_at": "2026-10-16",
  "additional_evidence_urls": [
    "https://arxiv.org/abs/2505.11340"
  ],
  "category": "learning",
  "description_en": "A benchmark combining functions from real programs, runtime-aware validation, and LLM-assisted assessment of decompiled-code usability. Helps separate functional correctness from perceived understandability when comparing decompilers.",
  "description_zh": "结合真实程序函数、运行时验证与 LLM 辅助可用性评判的反编译基准，用于比较反编译器的功能正确性与代码可理解性。",
  "entry_url": "https://awesomerea.org/resources/decompilebench-paper/",
  "entry_url_zh": "https://awesomerea.org/zh/resources/decompilebench-paper/",
  "evidence_url": "https://aclanthology.org/2025.findings-acl.1194/",
  "group": "learn",
  "id": "decompilebench-paper",
  "json_url": "https://awesomerea.org/resources/decompilebench-paper/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/resources/decompilebench-paper/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/resources/decompilebench-paper/index.md",
  "name": "DecompileBench (Findings of ACL 2025)",
  "name_zh": "DecompileBench（Findings of ACL 2025）",
  "record_type": "resource",
  "relationship": "learning",
  "requirements": [
    "Findings of ACL 2025 paper. LLM-as-judge assessments and runtime correctness measure different properties."
  ],
  "requirements_zh": [
    "Findings of ACL 2025 论文。LLM 评判与运行时正确性衡量不同属性。"
  ],
  "targets": [
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  "url": "https://aclanthology.org/2025.findings-acl.1194/",
  "verification": "source-reviewed",
  "verified_at": "2026-10-16"
}