# DecompileBench (Findings of ACL 2025)

> 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.

- Type: Research
- Targets: Binary
- Category: Learning resources
- Relationship: Learning resource
- Sources reviewed: 2026-10-16
- Added to the catalog: 2026-10-16
- Original resource: <https://aclanthology.org/2025.findings-acl.1194/>
- Catalog page: <https://awesomerea.org/resources/decompilebench-paper/>
- Record JSON: <https://awesomerea.org/resources/decompilebench-paper/record.json>
- Chinese version: [简体中文](https://awesomerea.org/zh/resources/decompilebench-paper/index.md)

## Requirements & limits

- Findings of ACL 2025 paper. LLM-as-judge assessments and runtime correctness measure different properties.

## Primary sources

1. <https://aclanthology.org/2025.findings-acl.1194/>
2. <https://arxiv.org/abs/2505.11340>

## Related entries

Matched by the same code repository or publication identifier.

- [DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios](https://awesomerea.org/papers/paper-decompilebench/index.md) · Research paper

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## About this entry

The description was reviewed against primary sources.
Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.