On the usage of continual learning for out-of-distribution generalization in pre-trained language models of code

Pre-trained language models (PLMs) have become a prevalent technique in deep learning for code, utilizing a two-stage pre-training and fine-tuning procedure to acquire general knowledge about code and specialize in a variety of downstream tasks. However, the dynamic nature of software codebases pose...

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Bibliographic Details
Main Authors: WEYSSOW, Martin, ZHOU, Xin, KIM, Kisub, LO, David, SAHRAOUI, Houari A.
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2023
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Online Access:https://ink.library.smu.edu.sg/sis_research/8574
https://ink.library.smu.edu.sg/context/sis_research/article/9577/viewcontent/On_the_Usage_of_Continual_Learning_for_Out_of_Distribution_Generalization_in_Pre_trained_Language_Models_of_Code.pdf
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Institution: Singapore Management University
Language: English

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