Awesome-Code-Intelligence
Neural Code Intelligence Survey 2024-25; Reading lists and resources
https://github.com/QiushiSun/Awesome-Code-Intelligence
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Introduction 📜
- Qiushi Sun
- **A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond**
- 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
- Kanzhi Cheng
- Zhangyue Yin
- Renyu Zhu
- Qipeng Guo
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Neural Code Intelligence Survey
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Paper Collections / Tutorials 📚
- 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
- Multimodal Code Generation
- Awesome Slides, Talks and Blogs
- Preference Optimization
- Language Models for Code
- Evaluations and Benchmarks
- Preference Optimization
- 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
- Multimodal Code Generation
- Awesome Slides, Talks and Blogs
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Recent Work on Code Intelligence (Welcome PR) 📗
- OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
- RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning - ->
- To Code, or Not To Code? Exploring Impact of Code in Pre-training - ->
- Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models
- Symbolic Learning Enables Self-Evolving Agents
- aiXcoder
- Making Language Models Better Tool Learners with Execution Feedback - ->
- CodeDPO: Aligning Code Models with Self Generated and Verified Source Code
- FullStack Bench: Evaluating LLMs as Full Stack Coders
- EpiCoder: Encompassing Diversity and Complexity in Code Generation
- WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models
- CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction
- Competitive Programming with Large Reasoning Models
- DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
- Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
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Star History 🌟
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