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Code Summarization

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Showing 101–125 of 163 papers

TitleStatusHype
Code Representation Learning with Prüfer Sequences—0
Code Structure Guided Transformer for Source Code Summarization—0
Code Summarization: Do Transformers Really Understand Code?—0
Pre-Training Representations of Binary Code Using Contrastive Learning—0
Commenting Higher-level Code Unit: Full Code, Reduced Code, or Hierarchical Code Summarization—0
Cross-Lingual Transfer Learning for Statistical Type Inference—0
DeepCodeProbe: Towards Understanding What Models Trained on Code Learn—0
WheaCha: A Method for Explaining the Predictions of Models of Code—0
Demystifying What Code Summarization Models Learned—0
DocGen: Generating Detailed Parameter Docstrings in Python—0
Do Current Language Models Support Code Intelligence for R Programming Language?—0
Do Machines and Humans Focus on Similar Code? Exploring Explainability of Large Language Models in Code Summarization—0
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization—0
Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations—0
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption—0
Enhancing Code LLM Training with Programmer Attention—0
Calibration of Large Language Models on Code Summarization—0
ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization—0
ETF: An Entity Tracing Framework for Hallucination Detection in Code Summaries—0
EVALOOP: Assessing LLM Robustness in Programming from a Self-consistency Perspective—0
Evaluation of Contrastive Learning with Various Code Representations for Code Clone Detection—0
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach—0
Exploring Distributional Shifts in Large Language Models for Code Analysis—0
Exploring Large Language Models for Code Explanation—0
Few-shot training LLMs for project-specific code-summarization—0
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