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Code Summarization

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Showing 51–100 of 163 papers

TitleStatusHype
DocGen: Generating Detailed Parameter Docstrings in Python—0
Understanding Code Semantics: An Evaluation of Transformer Models in SummarizationCode0
Exploring Large Language Models for Code Explanation—0
CP-BCS: Binary Code Summarization Guided by Control Flow Graph and Pseudo CodeCode1
Leveraging Deep Learning for Abstractive Code Summarization of Unofficial Documentation—0
Beyond Accuracy: Evaluating Self-Consistency of Code Large Language Models with IdentityChainCode1
An Assessment of ChatGPT on Log Data—0
Revisiting File Context for Source Code SummarizationCode0
Laminar: A New Serverless Stream-based Framework with Semantic Code Search and Code Completion—0
Distilled GPT for Source Code SummarizationCode0
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization—0
SoTaNa: The Open-Source Software Development AssistantCode1
Benchmarking Causal Study to Interpret Large Language Models for Source Code—0
Semantic Similarity Loss for Neural Source Code SummarizationCode0
AST-MHSA : Code Summarization using Multi-Head Self-Attention—0
Statement-based Memory for Neural Source Code SummarizationCode0
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review—0
TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human SkillsCode0
Automatic Code Summarization via ChatGPT: How Far Are We?—0
Tram: A Token-level Retrieval-augmented Mechanism for Source Code SummarizationCode0
Towards Modeling Human Attention from Eye Movements for Neural Source Code Summarization—0
CodeT5+: Open Code Large Language Models for Code Understanding and GenerationCode0
The Vault: A Comprehensive Multilingual Dataset for Advancing Code Understanding and GenerationCode1
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
One Adapter for All Programming Languages? Adapter Tuning for Code Search and SummarizationCode1
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
ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming LanguagesCode6
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
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code IntelligenceCode1
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
MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation LearningCode1
Learning code summarization from a small and local dataset—0
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations—0
Summarize and Generate to Back-translate: Unsupervised Translation of Programming LanguagesCode1
A Neural Network Architecture for Program Understanding Inspired by Human BehaviorsCode0
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization—0
GypSum: Learning Hybrid Representations for Code SummarizationCode1
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