15 citations · 17 across the 3 of their papers we have counts for
3 papers
cs.SE2025
Unmasking the Genuine Type Inference Capabilities of LLMs for Java Code Snippets
Yiwen Dong, Zhenyang Xu, Yongqiang Tian +1
Type inference is crucial for reusing online code snippets. Although snippets are prevalently shared on platforms like StackOverflow, they often lack essential type information, su…
cs.PL2023★ 15 cited
LPR: Large Language Models-Aided Program Reduction
Mengxiao Zhang, Yongqiang Tian, Zhenyang Xu +3
Program reduction is a prevalent technique to facilitate compilers' debugging by automatically minimizing bug-triggering programs. Existing program reduction techniques are either…
cs.LG2022★ 2 cited
ProMix: Combating Label Noise via Maximizing Clean Sample Utility
Ruixuan Xiao, Yiwen Dong, Haobo Wang +4
Learning with Noisy Labels (LNL) has become an appealing topic, as imperfectly annotated data are relatively cheaper to obtain. Recent state-of-the-art approaches employ specific s…