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Code Summarization

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Showing 51–75 of 163 papers

TitleStatusHype
How to Select Pre-Trained Code Models for Reuse? A Learning Perspective—0
Benchmarking Causal Study to Interpret Large Language Models for Source Code—0
An Empirical Study on Capability of Large Language Models in Understanding Code Semantics—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization—0
Pre-Training Representations of Binary Code Using Contrastive Learning—0
A Structural Transformer with Relative Positions in Trees for Code-to-Sequence Tasks—0
DocGen: Generating Detailed Parameter Docstrings in Python—0
Icing on the Cake: Automatic Code Summarization at Ericsson—0
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization—0
Automatic Source Code Summarization via Reinforcement Learning—0
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations—0
GraphCodeBERT: Pre-training Code Representations with Data Flow—0
An Assessment of ChatGPT on Log Data—0
Code Summarization: Do Transformers Really Understand Code?—0
Code Structure Guided Transformer for Source Code Summarization—0
CoDesc: A Large Code-Description Parallel Dataset—0
Automatic Code Summarization via ChatGPT: How Far Are We?—0
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks—0
Code Representation Learning with Prüfer Sequences—0
Analysis of Student-LLM Interaction in a Software Engineering Project—0
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks—0
Code-Craft: Hierarchical Graph-Based Code Summarization for Enhanced Context Retrieval—0
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach—0
A Convolutional Neural Network for Language-Agnostic Source Code Summarization—0
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