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ZENODO
Conference object . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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SimLLM: Calculating Semantic Similarity in Code Summaries Using a Large Language Model-Based Approach

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 17 Jul 2024 enc Publisher:Zenodo
Authors: Jin, Xin;

doi: 10.5281/zenodo.11095396 , 10.5281/zenodo.11095395

SimLLM: Calculating Semantic Similarity in Code Summaries Using a Large Language Model-Based Approach

Abstract

About This is the artifact for the ACM FSE'2024 paper: "SimLLM: Calculating Semantic Similarity in Code Summaries Using a Large Language Model-Based Approach". After downloading the zip file, please read and follow the README.md file to install and use it.

Keywords

semantic similarity, code summarization, large language model

  • BIP!
    Impact byBIP!
    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).
    		 1
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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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!
1
Average
Average
Average
Green