5 citations · 6 across the 5 of their papers we have counts for
6 papers
Exploring the Security Threats of Knowledge Base Poisoning in Retrieval-Augmented Code Generation
Bo Lin, Shangwen Wang, Liqian Chen +1
The integration of Large Language Models (LLMs) into software development has revolutionized the field, particularly through the use of Retrieval-Augmented Code Generation (RACG) s…
There are More Fish in the Sea: Automated Vulnerability Repair via Binary Templates
Bo Lin, Shangwen Wang, Liqian Chen +1
As software vulnerabilities increase in both volume and complexity, vendors often struggle to repair them promptly. Automated vulnerability repair has emerged as a promising soluti…
Fault Localization from the Semantic Code Search Perspective
Yihao Qin, Shangwen Wang, Yan Lei +5
The software development process is characterized by an iterative cycle of continuous functionality implementation and debugging, essential for the enhancement of software quality…
Enhancing Code Intelligence Tasks with ChatGPT
Kang Yang, Xinjun Mao, Shangwen Wang +6
Pre-trained code models have emerged as crucial tools in various code intelligence tasks. However, their effectiveness depends on the quality of the pre-training dataset, particula…
CCT5: A Code-Change-Oriented Pre-Trained Model
Bo Lin, Shangwen Wang, Zhongxin Liu +3
Software is constantly changing, requiring developers to perform several derived tasks in a timely manner, such as writing a description for the intention of the code change, or id…
Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements
Shangwen Wang, Kui Liu, Bo Lin +4
Software Fault Localization refers to the activity of finding code elements (e.g., statements) that are related to a software failure. The state-of-the-art fault localization techn…