163 citations · 274 across the 45 of their papers we have counts for
6 papers · 1 filter
Gotcha! This Model Uses My Code! Evaluating Membership Leakage Risks in Code Models
Zhou Yang, Zhipeng Zhao, Chenyu Wang +4
Given large-scale source code datasets available in open-source projects and advanced large language models, recent code models have been proposed to address a series of critical s…
Greening Large Language Models of Code
Jieke Shi, Zhou Yang, Hong Jin Kang +3
Large language models of code have shown remarkable effectiveness across various software engineering tasks. Despite the availability of many cloud services built upon these powerf…
Unveiling Memorization in Code Models
Zhou Yang, Zhipeng Zhao, Chenyu Wang +4
The availability of large-scale datasets, advanced architectures, and powerful computational resources have led to effective code models that automate diverse software engineering…
What Do Users Ask in Open-Source AI Repositories? An Empirical Study of GitHub Issues
Zhou Yang, Chenyu Wang, Jieke Shi +5
Artificial Intelligence systems, which benefit from the availability of large-scale datasets and increasing computational power, have become effective solutions to various critical…
Prioritizing Speech Test Cases
Zhou Yang, Jieke Shi, Muhammad Hilmi Asyrofi +4
With the wide adoption of automated speech recognition (ASR) systems, it is increasingly important to test and improve ASR systems. However, collecting and executing speech test ca…
Stealthy Backdoor Attack for Code Models
Zhou Yang, Bowen Xu, Jie M. Zhang +4
Code models, such as CodeBERT and CodeT5, offer general-purpose representations of code and play a vital role in supporting downstream automated software engineering tasks. Most re…