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Code Documentation Generation

태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.

하위 태스크: 1
평가표: 7
보존된 평가 기록: 52

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/agemagician/CodeTrans

공식 코드

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

https://github.com/dakuo/haconvgnn

공식 코드

HAConvGNN: Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

https://github.com/facebookresearch/docagent

공식 코드

DocAgent: A Multi-Agent System for Automated Code Documentation Generation

https://github.com/jianguda/afm4acs

공식 코드

Assemble Foundation Models for Automatic Code Summarization

https://github.com/mdrafiqulrabin/CI-Memorization

공식 코드

Memorization and Generalization in Neural Code Intelligence Models

https://github.com/microsoft/CodeBERT

공식 코드

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

https://github.com/openbmb/repoagent

공식 코드

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

https://github.com/uh-serg/ci-memorization

공식 코드

Memorization and Generalization in Neural Code Intelligence Models

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