54 citations · 107 across the 13 of their papers we have counts for
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cs.CL2022★ 4 cited
Parameter-Efficient Finetuning of Transformers for Source Code
Shamil Ayupov, Nadezhda Chirkova
Pretrained Transformers achieve state-of-the-art performance in various code-processing tasks but may be too large to be deployed. As software development tools often incorporate m…
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…