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Exploring Continual Learning for Code Generation Models

Published in arXiv (Cornell University) • Jul 5, 2023
NobleIDNI9P23W23R97S55
Authors:
Prateek Yadav
,
Qing Sun
,
Hantian Ding

Abstract

Large-scale code generation models such as Codex and CodeT5 have achieved impressive performance. However, libraries are upgraded or deprecated very frequently and re-training large-scale language models is computationally expensive. Therefore, Continual Learning (CL) is an important aspect that rem...

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