2023 · Preprint
Refining Decompiled C Code with Large Language Models
The paper proposes a two-step hybrid LLM approach to refine IDA-Pro decompiled C code for recompilation. On popular C test cases, it reports a recompilation success rate above 75% with moderate effort.
Scope and limitations
The pilot study examines obstacles in recompiling IDA-Pro output; the evaluation uses a set of popular C test cases.
Why it fits this collection
It addresses reverse engineering of executables by improving decompiled C code for recompilation.
Publication and review details
- Venue
- arXiv
- Status
- Preprint
- Publication / posting date
- October 10, 2023
- Date source
- First arXiv submission date.
- First arXiv submission
- October 10, 2023
- arXiv
- 2310.06530
- Reviewed arXiv version
- v2
The date and venue come from the arXiv record.
Sources reviewed
Reviewed against the paper and its primary sources. Cite the original authors using the linked paper or BibTeX.