Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries

4 January 2023

Papers citing "Extending Source Code Pre-Trained Language Models to Summarise Decompiled Binaries"

5 / 5 papers shown

Title
FoC: Figure out the Cryptographic Functions in Stripped Binaries with LLMs Guoqiang Chen Xiuwei Shang Shaoyin Cheng Yanming Zhang Weiming Zhang Neng H. Yu N. Yu 92 2 0 27 Mar 2024
LLMs in the Heart of Differential Testing: A Case Study on a Medical Rule Engine Erblin Isaku Christoph Laaber Hassan Sartaj Shaukat Ali T. Schwitalla J. F. Nygård 28 2 0 16 Feb 2024
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 204 1,451 0 02 Sep 2021
On the Evaluation of Neural Code Summarization Ensheng Shi Yanlin Wang Lun Du Junjie Chen Shi Han Hongyu Zhang Dongmei Zhang Hongbin Sun ELM 110 85 0 15 Jul 2021
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation Shuai Lu Daya Guo Shuo Ren Junjie Huang Alexey Svyatkovskiy ... Nan Duan Neel Sundaresan Shao Kun Deng Shengyu Fu Shujie Liu ELM 190 853 0 09 Feb 2021