LLM4Decompile: Decompiling Binary Code with Large Language Models

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

25 Citations (Scopus)

Original language	English
Title of host publication	Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
Pages	3473–3487
DOIs	https://doi.org/10.18653/v1/2024.emnlp-main.203
Publication status	Published - Nov 2024

More information

@inproceedings{3ce39fb7c4af4f438298c7c88e47d3c9,

title = "LLM4Decompile: Decompiling Binary Code with Large Language Models",

author = "Hanzhuo Tan and Qi Luo and Jing Li and Yuqun Zhang",

year = "2024",

month = nov,

doi = "10.18653/v1/2024.emnlp-main.203",

language = "English",

pages = "3473{\textendash}3487",

booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",

}

TY - GEN

T1 - LLM4Decompile: Decompiling Binary Code with Large Language Models

AU - Tan, Hanzhuo

AU - Luo, Qi

AU - Li, Jing

AU - Zhang, Yuqun

PY - 2024/11

Y1 - 2024/11

U2 - 10.18653/v1/2024.emnlp-main.203

DO - 10.18653/v1/2024.emnlp-main.203

M3 - Conference article published in proceeding or book

SP - 3473

EP - 3487

BT - Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

ER -