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Code Summarization

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Showing 101–150 of 163 papers

TitleStatusHype
An Exploratory Study on Code Attention in BERT—0
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages—0
M2TS: Multi-Scale Multi-Modal Approach Based on Transformer for Source Code SummarizationCode1
MCoNaLa: A Benchmark for Code Generation from Multiple Natural LanguagesCode1
Source Code Summarization with Structural Relative Position Guided TransformerCode1
What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source Code—0
Compositionality-Aware Graph2Seq LearningCode0
Meta Learning for Code Summarization—0
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages—0
Code Summarization: Do Transformers Really Understand Code?—0
Assemble Foundation Models for Automatic Code SummarizationCode1
Multilingual training for Software Engineering—0
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization—0
Graph Conditioned Sparse-Attention for Improved Source Code UnderstandingCode1
Integrating Tree Path in Transformer for Code RepresentationCode0
Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack OverflowCode0
GN-Transformer: Fusing Sequence and Graph Representation for Improved Code SummarizationCode1
Meta Learning for Code Summarization—0
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code SummarizationCode0
Can Neural Networks Understand Programs like Humans?Code0
Retrieval-based Layer-wise Adaptive Transformer for Source Code Summarization—0
Code Representation Learning with Prüfer Sequences—0
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code SearchCode1
Novel Natural Language Summarization of Program Code via Leveraging Multiple Input Representations—0
Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy—0
CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and GenerationCode1
Retrieval Augmented Code Generation and SummarizationCode1
Impact of Evaluation Methodologies on Code SummarizationCode1
Autoencoders as Tools for Program SynthesisCode0
Learning Sequential and Structural Information for Source Code Summarization—0
On the Evaluation of Neural Code SummarizationCode1
Cross-Lingual Transfer Learning for Statistical Type Inference—0
Code to Comment Translation: A Comparative Study on Model Effectiveness & ErrorsCode0
CoDesc: A Large Code-Description Parallel Dataset—0
TreeBERT: A Tree-Based Pre-Trained Model for Programming LanguageCode1
CoTexT: Multi-task Learning with Code-Text TransformerCode1
Code Structure Guided Transformer for Source Code Summarization—0
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter NotebooksCode0
Project-Level Encoding for Neural Source Code Summarization of SubroutinesCode0
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach—0
Language-Agnostic Representation Learning of Source Code from Structure and ContextCode1
Improving Code Summarization with Block-wise Abstract Syntax Tree SplittingCode1
Unified Pre-training for Program Understanding and GenerationCode1
Neural Code SummarizationCode0
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
WheaCha: A Method for Explaining the Predictions of Models of Code—0
GN-Transformer: Fusing AST and Source Code information in Graph Networks—0
Code Summarization with Structure-induced TransformerCode1
Automatic Source Code Summarization via Reinforcement Learning—0
GraphCodeBERT: Pre-training Code Representations with Data Flow—0
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