54 citations · 65 across the 4 of their papers we have counts for
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cs.SE2022★ 8 cited
Probing Pretrained Models of Source Code
Sergey Troshin, Nadezhda Chirkova
Deep learning models are widely used for solving challenging code processing tasks, such as code generation or code summarization. Traditionally, a specific model architecture was…
cs.SE2020★ 1 cited
A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code
Nadezhda Chirkova, Sergey Troshin
There is an emerging interest in the application of natural language processing models to source code processing tasks. One of the major problems in applying deep learning to softw…