Software — Paper Notes

Code models, summarization, and program analysis

2022

EMNLP-2021 HAConvGNN:Hierarchical Attention Based Convolutional Graph Neural Network for Code Documentation Generation in Jupyter Notebooks

ICPC-2022 HELoC:Hierarchical Contrastive Learning of Source Code Representation

EMNLP-2020 CodeBERT:A Pre-Trained Model for Programming and Natural Languages

ICSE-2022 AST-trans:code summarization with efficient tree-structured attention

ICSE-2022 Cross-Domain Deep Code Search with Few-Shot Meta Learning

AAAI-2022 Hierarchical Heterogeneous Graph Attention Network for Syntax-Aware Summarization

arXiv-2022 Learning code summarization from a small and local dataset

Journal of Systems and Software-2022 Automatic source code summarization with graph attention networks

ICML-2016 A Convolutional Attention Network for Extreme Summarization of Source Code

ACL-2022 Impact of Evaluation Methodologies on Code Summarization

NAACL-2022 CODE-MVP:Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training

arXiv-2022 A Survey of Deep Learning Models for Structural Code Understanding

DeepMind-2022 Competition-Level Code Generation with AlphaCode

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