SOTAVerified

Source Code Summarization

Code Summarization is a task that tries to comprehend code and automatically generate descriptions directly from the source code.

Source: Improving Automatic Source Code Summarization via Deep Reinforcement Learning

Papers

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Showing 1–10 of 58 papers

TitleStatusHype
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language ModelsCode0
Source Code Summarization in the Era of Large Language ModelsCode1
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization—0
On Training a Neural Network to Explain Binaries—0
A Prompt Learning Framework for Source Code SummarizationCode1
Revisiting File Context for Source Code SummarizationCode0
Distilled GPT for Source Code SummarizationCode0
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization—0
Semantic Similarity Loss for Neural Source Code SummarizationCode0
Statement-based Memory for Neural Source Code SummarizationCode0
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All datasetsDeepCom-JavaParallelCorpus-PythonCoDescCodeSearchNetCodeSearchNet - PythonJava scriptsSummarizing Source Code using a Neural Attention Model - C#Summarizing Source Code using a Neural Attention Model - PythonSummarizing Source Code using a Neural Attention Model - SQL

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CodeTrans-MT-TF-LargeSmoothed BLEU-419.98—Unverified