UniGenCoder: Merging Seq2Seq and Seq2Tree Paradigms for Unified Code Generation

Deep learning-based code generation has completely transformed the way developers write programs today. Existing approaches to code generation have focused either on the Sequence-to-Sequence paradigm, which generates target code as a sequence of tokens, or the Sequence-to-Tree paradigm, which output...

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Bibliographic Details
Main Authors: Shao, Liangying, Yan, Yanfu, Poshyvanyk, Denys, Su, Jinsong
Format: Conference Proceeding
Language:English
Subjects:
Online Access:Request full text
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