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 1–50 of 58 papers

TitleStatusHype
A Prompt Learning Framework for Source Code SummarizationCode1
Source Code Summarization with Structural Relative Position Guided TransformerCode1
Contrastive Code Representation LearningCode1
Structured Neural SummarizationCode1
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code SearchCode1
On the Evaluation of Neural Code SummarizationCode1
Improved Code Summarization via a Graph Neural NetworkCode1
Recommendations for Datasets for Source Code SummarizationCode1
Improving Code Summarization with Block-wise Abstract Syntax Tree SplittingCode1
Language-Agnostic Representation Learning of Source Code from Structure and ContextCode1
Code Summarization with Structure-induced TransformerCode1
Unified Pre-training for Program Understanding and GenerationCode1
Assemble Foundation Models for Automatic Code SummarizationCode1
Source Code Summarization in the Era of Large Language ModelsCode1
M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code SummarizationCode1
A Transformer-based Approach for Source Code SummarizationCode1
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance ComputingCode1
Retrieval-Augmented Generation for Code Summarization via Hybrid GNNCode1
Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack OverflowCode0
Code to Comment Translation: A Comparative Study on Model Effectiveness & ErrorsCode0
Compositionality-Aware Graph2Seq LearningCode0
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code SummarizationCode0
Neural Code SummarizationCode0
Project-Level Encoding for Neural Source Code Summarization of SubroutinesCode0
An Extractive-and-Abstractive Framework for Source Code SummarizationCode0
Revisiting File Context for Source Code SummarizationCode0
Semantic Similarity Loss for Neural Source Code SummarizationCode0
Statement-based Memory for Neural Source Code SummarizationCode0
Summarizing Source Code using a Neural Attention ModelCode0
Distilled GPT for Source Code SummarizationCode0
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
GraphCodeBERT: Pre-training Code Representations with Data FlowCode0
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter NotebooksCode0
Improving Automatic Source Code Summarization via Deep Reinforcement LearningCode0
Code Generation as a Dual Task of Code SummarizationCode0
CoDesc: A Large Code-Description Parallel DatasetCode0
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
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
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