9 citations · 14 across the 6 of their papers we have counts for
Showing cs.SEShow all
3 papers · 1 filter
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★ 9 cited
How Effective are Large Language Models in Generating Software Specifications?
Danning Xie, Byungwoo Yoo, Nan Jiang +4
Software specifications are essential for many Software Engineering (SE) tasks such as bug detection and test generation. Many existing approaches are proposed to extract the speci…
cs.SE2023★ 4 cited
Symbol Preference Aware Generative Models for Recovering Variable Names from Stripped Binary
Xiangzhe Xu, Zhuo Zhang, Zian Su +8
Decompilation aims to recover the source code form of a binary executable. It has many security applications, such as malware analysis, vulnerability detection, and code hardening.…