1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.SE2024
CodeJudge-Eval: Can Large Language Models be Good Judges in Code Understanding?
Yuwei Zhao, Ziyang Luo, Yuchen Tian +4
Recent advancements in large language models (LLMs) have showcased impressive code generation capabilities, primarily evaluated through language-to-code benchmarks. However, these…
cs.SE2022★ 1 cited
WhyGen: Explaining ML-powered Code Generation by Referring to Training Examples
Weixiang Yan, Yuanchun Li
Deep learning has demonstrated great abilities in various code generation tasks. However, despite the great convenience for some developers, many are concerned that the code genera…