{
  "added_at": "2026-11-09",
  "arxiv_id": "2610.37871",
  "arxiv_version_reviewed": "v1",
  "authors": [
    "Shenglong Yao",
    "Zirui Liu",
    "Xiangchi Yuan",
    "Wenke Lee"
  ],
  "bibtex_url": "https://awesomerea.org/papers/citations/paper-icall-bench.bib",
  "code_url": null,
  "date_basis": "arXiv first-submission date; the cited version is v1",
  "date_basis_zh": "日期取自 arXiv 首次提交日，引用版本为 v1",
  "date_precision": "day",
  "description_en": "ICALL-BENCH measures whether language models and agents can follow interprocedural meaning in compiled binaries, using indirect-call target recovery as the probe. The abstract says the benchmark covers 50 real-world C and C++ programs built with different compilers.",
  "description_zh": "ICALL-BENCH 衡量语言模型和智能体能否把握编译后二进制中的过程间含义，并以间接调用目标恢复作为探针。摘要说基准覆盖 50 个用不同编译器构建的真实 C 和 C++ 程序。",
  "doi": null,
  "entry_url": "https://awesomerea.org/papers/paper-icall-bench/",
  "entry_url_zh": "https://awesomerea.org/zh/papers/paper-icall-bench/",
  "evidence_urls": [
    "https://arxiv.org/abs/2610.37871v1",
    "https://arxiv.org/pdf/2610.37871v1",
    "https://export.arxiv.org/api/query?id_list=2610.37871"
  ],
  "first_arxiv_date": "2026-10-27",
  "id": "paper-icall-bench",
  "json_url": "https://awesomerea.org/papers/paper-icall-bench/record.json",
  "kind": "research",
  "markdown_url": "https://awesomerea.org/papers/paper-icall-bench/index.md",
  "markdown_url_zh": "https://awesomerea.org/zh/papers/paper-icall-bench/index.md",
  "metadata_notes": "No code commit was pinned.",
  "metadata_notes_zh": "没有固定代码提交。",
  "pdf_url": "https://arxiv.org/pdf/2610.37871v1",
  "project_url": null,
  "publication_date": "2026-10-27",
  "publication_status": "preprint",
  "record_type": "paper",
  "runtime_tested": false,
  "scope_limitations_en": "arXiv:2610.37871v1 reports a benchmark of 50 real-world programs.",
  "scope_limitations_zh": "arXiv:2610.37871v1 报告基准包含 50 个实际程序。",
  "targets": [
    "binary"
  ],
  "title": "ICALL-BENCH: Benchmarking LLM Interprocedural Reasoning in Binary Programs",
  "title_zh": "ICALL-BENCH：衡量大语言模型在二进制程序中的过程间推理",
  "url": "https://arxiv.org/abs/2610.37871v1",
  "venue": "arXiv",
  "verification": "source-reviewed",
  "verified_at": "2026-11-04",
  "why_fits_en": "Recovering indirect-call targets is a binary analysis task, and the paper contributes a benchmark for it.",
  "why_fits_zh": "恢复间接调用目标是一项二进制分析任务，本文贡献的是这项任务的基准。",
  "year": 2026
}