97 citations · 99 across the 3 of their papers we have counts for
3 papers
cs.SE2023★ 1 cited
Nova: Generative Language Models for Assembly Code with Hierarchical Attention and Contrastive Learning
Nan Jiang, Chengxiao Wang, Kevin Liu +4
Binary code analysis is the foundation of crucial tasks in the security domain; thus building effective binary analysis techniques is more important than ever. Large language model…
cs.SE2023★ 97 cited
How Effective Are Neural Networks for Fixing Security Vulnerabilities
Yi Wu, Nan Jiang, Hung Viet Pham +5
Security vulnerability repair is a difficult task that is in dire need of automation. Two groups of techniques have shown promise: (1) large code language models (LLMs) that have b…
cs.CL2022★ 1 cited
Neural Transition-based Parsing of Library Deprecations
Petr Babkin, Nacho Navarro, Salwa Alamir +1
This paper tackles the challenging problem of automating code updates to fix deprecated API usages of open source libraries by analyzing their release notes. Our system employs a t…