Classifying source code: How far can compressor-based classifiers go?

Pre-trained language models of code, which are built upon large-scale datasets, millions of trainable parameters, and high computational resources cost, have achieved phenomenal success. Recently, researchers have proposed a compressor-based classifier (Cbc); it trains no parameters but is found to...

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Bibliographic Details
Main Author: YANG, Zhou
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
Online Access:https://ink.library.smu.edu.sg/sis_research/8920
https://ink.library.smu.edu.sg/context/sis_research/article/9923/viewcontent/3639478.3641229_pvoa_cc_by.pdf
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Institution: Singapore Management University
Language: English