{
  "added_at": "2026-10-16",
  "additional_evidence_urls": [
    "https://www.cs.purdue.edu/homes/lintan/publications/resym-ccs24.pdf"
  ],
  "category": "learning",
  "description_en": "Combines language models and program analysis to recover variable and user-defined data-structure symbols from stripped binaries. The authors provide training, inference, evaluation, and posterior-reasoning artifacts.",
  "description_zh": "结合语言模型与程序分析，从去符号二进制中恢复变量和用户定义数据结构的符号信息。作者提供训练、推理、评测与后验推理材料。",
  "entry_url": "https://awesomerea.org/resources/resym-paper/",
  "entry_url_zh": "https://awesomerea.org/zh/resources/resym-paper/",
  "evidence_url": "https://github.com/lt-asset/resym/tree/437b4acac21a5a60edecf0c4423f7172f991271f",
  "group": "learn",
  "id": "resym-paper",
  "json_url": "https://awesomerea.org/resources/resym-paper/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/resources/resym-paper/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/resources/resym-paper/index.md",
  "name": "ReSym (CCS 2024)",
  "name_zh": "ReSym（CCS 2024）",
  "record_type": "resource",
  "relationship": "learning",
  "requirements": [
    "CCS 2024 paper with author-provided artifacts."
  ],
  "requirements_zh": [
    "CCS 2024 论文及作者提供的实验材料。"
  ],
  "targets": [
    "binary"
  ],
  "url": "https://doi.org/10.1145/3658644.3670340",
  "verification": "source-reviewed",
  "verified_at": "2026-10-16"
}