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CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation research paper by Salesforce, 2021

Salesforce · Sep 2, 2021 · Architectures · 3 upvotes 5 years ago

Read on arXiv

What it shows

CodeT5, a unified encoder-decoder Transformer model, improves code understanding and generation by leveraging semantic information from identifiers and user comments.

Hugging Face's summary; not yet checked by hand.

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About this paper
Authors
Yue Wang, Weishi Wang, Shafiq Joty and 1 more
arXiv
2109.00859 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
3 · Hugging Face
Lab
Salesforce · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

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New paperAdded to the listSep 26, 2026today

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