This is the repository of our paper: A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond.
Please do not hesitate to contact us or launch pull requests if you find any related papers that are missing in our paper.
- Update on 2024/03/19: Version 1.0 released 🚀
- Update on 2024/01/19: Add multiple reading lists 📖
- Update on 2023/12/29: Add Development Timelines 📅
- Update on 2023/12/25: Add Reading Lists, Merry Christmas 🍎🎄
📃 A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond
Qiushi Sun, Zhirui Chen, Fangzhi Xu, Kanzhi Cheng, Chang Ma, Zhangyue Yin, Jianing Wang, Chengcheng Han, Renyu Zhu, Shuai Yuan, Qipeng Guo, Xipeng Qiu, Pengcheng Yin, Xiaoli Li, Fei Yuan, Lingpeng Kong, Xiang Li, Zhiyong Wu
Introducing the resources provided by our survey paper.
The Development of Code Intelligence
- Language Models for Code 🤖
- Evaluations and Benchmarks 📊
- Code Repair 🔧
- Reasoning with Code Synthesis 🧠
- Data Science 🔢
- Corpus containing Code Data 📚
- Code-Based Solutions for NLP Tasks 📝
- Code Empowered Agents 🤖
- Reinforcement Learning with CodeLMs 🎮
- Code Intelligence assists AI4Science 🧪
- Software Development 🛠️
- Multilingual 🌍
- Awesome Slides, Talks and Blogs 🧑🏫
🫶 If you are interested in our work or find this repository helpful, please consider using the following citation format when referencing our paper:
@misc{sun2024ncisurvey,
title = {A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond},
author = {Qiushi Sun and Zhirui Chen and Fangzhi Xu and Kanzhi Cheng and Chang Ma and
Zhangyue Yin and Jianing Wang and Chengcheng Han and Renyu Zhu and Shuai Yuan
and Qipeng Guo and Xipeng Qiu and Pengcheng Yin and Xiaoli Li and Fei Yuan and
Lingpeng Kong and Xiang Li and Zhiyong Wu},
eprint = {2403.14734},
archivePrefix = {arXiv},
year = {2024}
}This is an open collaborative research project among:
