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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 26–50 of 58 papers

TitleStatusHype
Semantic Similarity Loss for Neural Source Code SummarizationCode0
Statement-based Memory for Neural Source Code SummarizationCode0
Summarizing Source Code using a Neural Attention ModelCode0
Tram: A Token-level Retrieval-augmented Mechanism for Source Code SummarizationCode0
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language ModelsCode0
Automatic Source Code Summarization with Extended Tree-LSTMCode0
code2seq: Generating Sequences from Structured Representations of CodeCode0
Code Generation as a Dual Task of Code SummarizationCode0
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter NotebooksCode0
Improving Automatic Source Code Summarization via Deep Reinforcement LearningCode0
An Extractive-and-Abstractive Framework for Source Code SummarizationCode0
Code to Comment Translation: A Comparative Study on Model Effectiveness & ErrorsCode0
Meta Learning for Code Summarization—0
A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks—0
Automatic Source Code Summarization via Reinforcement Learning—0
CoDesc: A Large Code-Description Parallel Dataset—0
Code Structure Guided Transformer for Source Code Summarization—0
WheaCha: A Method for Explaining the Predictions of Models of Code—0
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization—0
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations—0
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization—0
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach—0
GN-Transformer: Fusing AST and Source Code information in Graph Networks—0
GraphCodeBERT: Pre-training Code Representations with Data Flow—0
Learning Sequential and Structural Information for Source Code Summarization—0
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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
1AdaMo-noiseBLEU-445.35—Unverified
2AdaMo-basicBLEU-445.3—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaMo-noiseBLEU-434.05—Unverified
2AdaMo-basicBLEU-433.85—Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerBLEU-445.89—Unverified
#ModelMetricClaimedVerifiedStatus
1ContraCodeF117.24—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaMo-basicBLEU-416.46—Unverified
#ModelMetricClaimedVerifiedStatus
1AdaMo-basicBLEU-437.64—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeTrans-MT-LargeSmoothed BLEU-423.57—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeTrans-MT-BaseSmoothed BLEU-413.37—Unverified
#ModelMetricClaimedVerifiedStatus
1CodeTrans-MT-TF-LargeSmoothed BLEU-419.98—Unverified