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Code Documentation Generation
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Code Documentation Generation is a supervised task where a code function is the input to the model, and the model generates the documentation for this function.
Description from: CodeTrans: Towards Cracking the Language of Silicone's Code Through Self-Supervised Deep Learning and High Performance Computing
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation
A Comparative Analysis of Large Language Models for Code Documentation Generation
Assemble Foundation Models for Automatic Code Summarization
Memorization and Generalization in Neural Code Intelligence Models
CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing
HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks
CodeBERT: A Pre-Trained Model for Programming and Natural Languages
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