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20202023
most citedEmpirical Study of Transformers for Source Code

54 citations · 65 across the 4 of their papers we have counts for

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Showing 2023 · cs.LGShow all

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cs.LG2023★ 2 cited

CodeBPE: Investigating Subtokenization Options for Large Language Model Pretraining on Source Code

Nadezhda Chirkova, Sergey Troshin

Recent works have widely adopted large language model pretraining for source code, suggested source code-specific pretraining objectives and investigated the applicability of vario…