73 citations · 126 across the 12 of their papers we have counts for
Showing 2023 · cs.SEShow all
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cs.SE2023★ 1 cited
Fixing Large Language Models' Specification Misunderstanding for Better Code Generation
Zhao Tian, Junjie Chen, Xiangyu Zhang
Code generation is to automatically generate source code conforming to a given programming specification, which has received extensive attention especially with the development of…
cs.SE2023★ 7 cited
Bias Testing and Mitigation in LLM-based Code Generation
Dong Huang, Jie M. Zhang, Qingwen Bu +3
As the adoption of LLMs becomes more widespread in software coding ecosystems, a pressing issue has emerged: does the generated code contain social bias and unfairness, such as tho…
cs.SE2023
On-the-fly Improving Performance of Deep Code Models via Input Denoising
Zhao Tian, Junjie Chen, Xiangyu Zhang
Deep learning has been widely adopted to tackle various code-based tasks by building deep code models based on a large amount of code snippets. While these deep code models have ac…