🚀NEW COURSEVibe Coding AI Apps with Claude Code 🤖✨Enroll now
Evaluation

LLM4Decompile

Free while signed in. Answers cite the passages they came from.

First page
LLM4Decompile
The curator’s take

LLM4Decompile is the first open-source family of LLMs specialized for decompiling machine code back into readable, re-executable C source.

Key points
01

Model range: Open-weight decompilation LLMs from 1.3B to 33B parameters, released with both End-to-end variants (binary → C) and Ref variants that refine outputs produced by the Ghidra decompiler.

02

Training scale: Trained on 4B tokens of paired C source and assembly, giving the models ample coverage of realistic build-system and optimization patterns.

03

Decompile-Eval benchmark: The authors introduce a benchmark that measures not just textual similarity but re-compatibility and re-executability of the recovered C code - a more faithful proxy for usefulness.

04

Strong gains: LLM4Decompile-Ref variants outperform GPT-4o and raw Ghidra by over 100% in re-executability rate, with an additional 16.2% improvement from the refinement stage.

Every Monday
Get next week’s papers.

The same picks and the same summaries, in your inbox. Free, and 176 issues deep.

Subscribe on Substack