1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.SE2024
Anchor Attention, Small Cache: Code Generation with Large Language Models
Xiangyu Zhang, Yu Zhou, Guang Yang +2
The development of large language models (LLMs) has revolutionized automated code generation. However, their high demand of computation resources has hindered a broader deployment…
cs.SE2024
CodeScore-R: An Automated Robustness Metric for Assessing the FunctionalCorrectness of Code Synthesis
Guang Yang, Yu Zhou, Xiang Chen +1
Evaluation metrics are crucial in the field of code synthesis. Commonly used code evaluation metrics canbe classified into three types: match-based, semantic-based, and execution-b…
cs.SE2023★ 1 cited
Assessing and Improving Syntactic Adversarial Robustness of Pre-trained Models for Code Translation
Guang Yang, Yu Zhou, Xiangyu Zhang +3
Context: Pre-trained models (PTMs) have demonstrated significant potential in automatic code translation. However, the vulnerability of these models in translation tasks, particula…