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ZENODO
Software . 2024
Data sources: ZENODO
ZENODO
Software . 2024
Data sources: Datacite
ZENODO
Software . 2024
Data sources: Datacite
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Artifact: Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Jun 2024Publisher:Zenodo
Authors: Cassano, Federico; Gouwar, John; Lucchetti, Francesca; Schlesinger, Claire; Freeman, Anders; Anderson, Carolyn Jane; Feldman, Molly; +3 Authors

doi: 10.5281/zenodo.12453931 , 10.5281/zenodo.12453932

Artifact: Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs

Abstract

This is an archive of the software and data that accompanies the OOPSLA 2024 paper "Knowledge Transfer from High-Resource to Low-Resource Programming Languages for Code LLMs". For convenience, we recommend accessing the code on GitHub and the datasets and fine-tuned models on the Hugging Face Hub.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average