Pre-Training Representations of Binary Code Using Contrastive Learning

11 October 2022

Papers citing "Pre-Training Representations of Binary Code Using Contrastive Learning"

6 / 6 papers shown

Title
kTrans: Knowledge-Aware Transformer for Binary Code Embedding Wenyu Zhu Hao Wang Yuchen Zhou Jiaming Wang Zihan Sha Zeyu Gao Chao Zhang 30 10 0 24 Aug 2023
dewolf: Improving Decompilation by leveraging User Surveys Steffen Enders Eva-Maria C. Behner Niklas Bergmann M. Rybalka Elmar Padilla Er Xue Hui Henry Low Nicholas Sim 20 6 0 13 May 2022
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation Yue Wang Weishi Wang Shafiq R. Joty S. Hoi 235 1,489 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 117 86 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 198 853 0 09 Feb 2021
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 197 176 0 05 Feb 2021