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Code Summarization

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Showing 101–150 of 163 papers

TitleStatusHype
CodeT5+: Open Code Large Language Models for Code Understanding and GenerationCode0
Is ChatGPT the Ultimate Programming Assistant -- How far is it?—0
Automatic Semantic Augmentation of Language Model Prompts (for Code Summarization)—0
Better Language Models of Code through Self-ImprovementCode0
Exploring Distributional Shifts in Large Language Models for Code Analysis—0
Greener yet Powerful: Taming Large Code Generation Models with Quantization—0
Demystifying What Code Summarization Models Learned—0
Automating Code-Related Tasks Through Transformers: The Impact of Pre-trainingCode0
Exploring Data Augmentation for Code Generation TasksCode0
A Survey on Pretrained Language Models for Neural Code Intelligence—0
CLAWSAT: Towards Both Robust and Accurate Code ModelsCode0
Pre-Training Representations of Binary Code Using Contrastive Learning—0
Boosting Code Summarization by Embedding Code StructuresCode0
Extreme Multi-Domain, Multi-Task Learning With Unified Text-to-Text Transfer TransformersCode0
Towards Code Summarization of APIs Based on Unofficial Documentation Using NLP Techniques—0
Few-shot training LLMs for project-specific code-summarization—0
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection—0
An Extractive-and-Abstractive Framework for Source Code SummarizationCode0
Learning code summarization from a small and local dataset—0
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations—0
A Neural Network Architecture for Program Understanding Inspired by Human BehaviorsCode0
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization—0
On the Transferability of Pre-trained Language Models for Low-Resource Programming Languages—0
An Exploratory Study on Code Attention in BERT—0
What Do They Capture? -- A Structural Analysis of Pre-Trained Language Models for Source CodeCode0
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
Multilingual training for Software Engineering—0
AST-Transformer: Encoding Abstract Syntax Trees Efficiently for Code Summarization—0
Integrating Tree Path in Transformer for Code RepresentationCode0
Leveraging Unsupervised Learning to Summarize APIs Discussed in Stack OverflowCode0
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code SummarizationCode0
Meta Learning for Code Summarization—0
Retrieval-based Layer-wise Adaptive Transformer for Source Code Summarization—0
Can Neural Networks Understand Programs like Humans?Code0
Code Representation Learning with Prüfer Sequences—0
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
Autoencoders as Tools for Program SynthesisCode0
Learning Sequential and Structural Information for Source Code Summarization—0
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 DatasetCode0
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
Neural Code SummarizationCode0
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