Unveiling memorization in code models

Unveiling memorization in code models

The availability of large-scale datasets, advanced architectures, and powerful computational resources have led to effective code models that automate diverse software engineering activities. The datasets usually consist of billions of lines of code from both open-source and private repositories. A...

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Bibliographic Details
Main Authors: YANG, Zhou, ZHAO, Zhipeng, WANG, Chenyu, SHI, Jieke, KIM, Dongsun, HAN, DongGyun, LO, David
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Open-Source Software
Memorization
Code Generation
Programming Languages and Compilers
Software Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/9246
https://ink.library.smu.edu.sg/context/sis_research/article/10246/viewcontent/3597503.3639074.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9246
https://ink.library.smu.edu.sg/context/sis_research/article/10246/viewcontent/3597503.3639074.pdf

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