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Code Summarization

Papers

Showing 2650 of 163 papers

TitleStatusHype
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
On the Evaluation of Neural Code SummarizationCode1
TreeBERT: A Tree-Based Pre-Trained Model for Programming LanguageCode1
CoTexT: Multi-task Learning with Code-Text TransformerCode1
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
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and GenerationCode1
Code Summarization with Structure-induced TransformerCode1
Retrieval-Augmented Generation for Code Summarization via Hybrid GNNCode1
A Transformer-based Approach for Source Code SummarizationCode1
Improved Code Summarization via a Graph Neural NetworkCode1
Recommendations for Datasets for Source Code SummarizationCode1
Rethinking the effects of data contamination in Code Intelligence0
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks0
LEANCODE: Understanding Models Better for Code Simplification of Pre-trained Large Language Models0
EVALOOP: Assessing LLM Robustness in Programming from a Self-consistency Perspective0
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language ModelsCode0
Large Language Models are Qualified Benchmark Builders: Rebuilding Pre-Training Datasets for Advancing Code Intelligence Tasks0
Code-Craft: Hierarchical Graph-Based Code Summarization for Enhanced Context Retrieval0
Enhancing Code LLM Training with Programmer Attention0
Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization0
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption0
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