92 citations · 252 across the 14 of their papers we have counts for
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cs.PL2023
Demystifying What Code Summarization Models Learned
Yu Wang, Ke Wang
Study patterns that models have learned has long been a focus of pattern recognition research. Explaining what patterns are discovered from training data, and how patterns are gene…
cs.PL2019★ 16 cited
Learning Scalable and Precise Representation of Program Semantics
Ke Wang
Neural program embedding has shown potential in aiding the analysis of large-scale, complicated software. Newly proposed deep neural architectures pride themselves on learning prog…