{"id":20298161,"url":"https://github.com/QiushiSun/Awesome-Code-Intelligence","last_synced_at":"2025-05-07T20:34:32.542Z","repository":{"id":229545955,"uuid":"664913341","full_name":"QiushiSun/Awesome-Code-Intelligence","owner":"QiushiSun","description":"Neural Code Intelligence Survey 2024; Reading lists and resources","archived":false,"fork":false,"pushed_at":"2025-03-19T09:34:15.000Z","size":31636,"stargazers_count":259,"open_issues_count":2,"forks_count":12,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-05-01T05:01:45.336Z","etag":null,"topics":["code-generation","large-language-models"],"latest_commit_sha":null,"homepage":"https://arxiv.org/abs/2403.14734","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/QiushiSun.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-07-11T03:15:50.000Z","updated_at":"2025-04-16T21:19:48.000Z","dependencies_parsed_at":"2024-08-19T07:29:46.712Z","dependency_job_id":"efe62b31-de13-441b-9b22-114cf2e0652d","html_url":"https://github.com/QiushiSun/Awesome-Code-Intelligence","commit_stats":{"total_commits":155,"total_committers":13,"mean_commits":"11.923076923076923","dds":0.5935483870967742,"last_synced_commit":"c4f606a86f73ddf9d124f7e7fd7cbdd6ca0f071b"},"previous_names":["qiushisun/ncisurvey","qiushisun/awesome-code-intelligence"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QiushiSun%2FAwesome-Code-Intelligence","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QiushiSun%2FAwesome-Code-Intelligence/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QiushiSun%2FAwesome-Code-Intelligence/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/QiushiSun%2FAwesome-Code-Intelligence/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/QiushiSun","download_url":"https://codeload.github.com/QiushiSun/Awesome-Code-Intelligence/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":252883219,"owners_count":21819157,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["code-generation","large-language-models"],"created_at":"2024-11-14T16:02:20.047Z","updated_at":"2025-05-07T20:34:32.518Z","avatar_url":"https://github.com/QiushiSun.png","language":null,"funding_links":[],"categories":["A01_文本生成_文本对话","Other Lists"],"sub_categories":["大语言对话模型及数据","TeX Lists"],"readme":"\u003c!-- ## A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond --\u003e\n\n## Neural Code Intelligence Survey\nThis is the repository of our paper: **A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond**.\n\n \u003c!-- [[Paper](https://qiushisun.github.io/)] --\u003e\n\n[![arXiv](https://img.shields.io/badge/arXiv-2403.14734-b31b1b.svg)](https://arxiv.org/abs/2403.14734) \n[![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity) \n[![PR's Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg?style=flat)](http://makeapullrequest.com)\n[![Awesome](https://awesome.re/badge.svg)](https://awesome.re)\n![License](https://img.shields.io/badge/License-MIT-blue)\n[![Paper page](https://huggingface.co/datasets/huggingface/badges/resolve/main/paper-page-sm.svg)](https://huggingface.co/papers/2403.14734)\n[![Twitter Follow](https://img.shields.io/twitter/follow/qiushi_sun)](https://twitter.com/qiushi_sun)\n\u003c!-- [🤗](https://huggingface.co/papers/2403.14734) --\u003e\n\n*Please do not hesitate to contact us or launch pull requests if you find any related papers that are missing in our paper.*\n\n## News 📰\n- Update on 2025/01/26: Version 1.6 released with additional topics on code preference learning 📖\n- Update on 2024/11/01: Version 1.4 released with extra paper collections 📖\n- Update on 2024/06/23: Version 1.2 released 🚀\n- Update on 2024/03/19: Version 1.0 released 🚀\n- Update on 2024/01/19: Add multiple reading lists 📖\n- Update on 2023/12/29: Add Development Timelines 📅\n- Update on 2023/12/25: Add Reading Lists, Merry Christmas 🍎🎄\n\n## Introduction 📜\n\n📃 [**A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond**](https://arxiv.org/abs/2403.14734) \n\u003e\n\u003e [Qiushi Sun](https://qiushisun.github.io/),\n[Zhirui Chen](https://github.com/jet1004),\n[Fangzhi Xu](https://xufangzhi.github.io/),\n[Kanzhi Cheng](https://scholar.google.com/citations?user=S2IPVnwAAAAJ\u0026hl=zh-CN),\n[Chang Ma](https://chang-github-00.github.io/-changma/),\n[Zhangyue Yin](https://scholar.google.com/citations?user=9gRQqSkAAAAJ\u0026hl=en),\n[Jianing Wang](https://wjn1996.github.io/),\n[Chengcheng Han](https://hccngu.github.io/),\n[Renyu Zhu](https://scholar.google.com/citations?user=tSWULnAAAAAJ\u0026hl=en), \n[Shuai Yuan](https://github.com/Luciferder),\n[Qipeng Guo](https://scholar.google.com/citations?user=k3mPGKgAAAAJ\u0026hl=en),\n[Xipeng Qiu](https://xpqiu.github.io/),\n[Pengcheng Yin](https://pengcheng.in/),\n[Xiaoli Li](https://www.a-star.edu.sg/i2r/about-i2r/i2r-management/li-xiaoli), \n[Fei Yuan](https://github.com/CONE-MT), \n[Lingpeng Kong](https://ikekonglp.github.io/), \n[Xiang Li](https://lixiang3776.github.io/), \n[Zhiyong Wu](https://lividwo.github.io/zywu.github.io/)\n\nIntroducing the resources provided by our survey paper, slides is also available at [here](assets/NCI_Survey_Slides_V1.pdf).\n\n## Timeline\n\n\u003cdetails open\u003e\n\u003csummary\u003eThe Development of Code Intelligence\u003c/summary\u003e\n\n![milestones](assets/codelms-tree-v18.png)\n\n\u003c/details\u003e\n\n\n## Recent Work on Code Intelligence (Welcome PR) 📗\n\n\n- [CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction](https://arxiv.org/abs/2502.07316) 2025.2\n- [Competitive Programming with Large Reasoning Models](https://arxiv.org/abs/2502.06807) 2025.2\n- [EpiCoder: Encompassing Diversity and Complexity in Code Generation](https://arxiv.org/abs/2501.04694v1) 2025.1\n- [WarriorCoder: Learning from Expert Battles to Augment Code Large Language Models](https://arxiv.org/abs/2412.17395) 2024.12\n- [FullStack Bench: Evaluating LLMs as Full Stack Coders](https://arxiv.org/abs/2412.00535) 2024.12\n- [CodeDPO: Aligning Code Models with Self Generated and Verified Source Code](https://arxiv.org/abs/2410.05605) 2024.11\n- [OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models](https://opencoder-llm.github.io/) 2024.11\n- [Qwen2.5-Coder Series: Powerful, Diverse, Practical.](https://github.com/QwenLM/Qwen2.5-Coder) 2024.11\n\u003c!-- - [RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning](https://huggingface.co/papers/2410.02089) 2024.10 --\u003e\n\u003c!-- - [To Code, or Not To Code? Exploring Impact of Code in Pre-training](https://arxiv.org/abs/2408.10914) 2024.08 --\u003e\n  \n\u003c!-- - [Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models](https://arxiv.org/abs/2406.11736) 2024.06\n- [Symbolic Learning Enables Self-Evolving Agents](https://arxiv.org/pdf/2406.18532v1) 2024.06\n- [aiXcoder](https://huggingface.co/aiXcoder/aixcoder-7b-base) 2024.04\n- [Making Language Models Better Tool Learners with Execution Feedback](https://arxiv.org/abs/2305.13068) 2024.03 --\u003e\n\n\n## Paper Collections / Tutorials 📚\n\n- [Language Models for Code](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/CodeLMs.md) 🤖\n- [Evaluations and Benchmarks](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/Benchmarks.md) 📊 \n- [Preference Optimization](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/Preference-Optimization.md) 🍎\n- [Code Repair](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/Repair.md) 🔧\n- [Reasoning with Code Synthesis](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/Reasoning.md) 🧠\n- [Data Science](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/DS.md) 🔢\n- [Corpus containing Code Data](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/Code-corpus.md) 📚\n- [Code-Based Solutions for NLP Tasks](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/NLPTasks-through-code.md) 📝\n- [Code Empowered Agents](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/CodeLM-empowered-agents.md) 🤖\n- [Reinforcement Learning with CodeLMs](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/RL-with-CodeLMs.md) 🎮\n- [Code Intelligence assists AI4Science](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/AI4Science.md) 🧪\n- [Software Development](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/Software-Development.md) 🛠️\n- [Multilingual](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/multilingual.md) 🌍\n- [Multimodal Code Generation](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/Multimodal.md) 🎨\n- [Awesome Slides, Talks and Blogs](https://github.com/QiushiSun/NCISurvey/blob/main/paper-reading/tutorials.md) 🧑‍🏫\n\n## Citation 📖\n\n🫶 If you are interested in our work or find this repository helpful, please consider using the following citation format when referencing our paper:\n\n```bibtex\n@article{sun2024survey,\n  title={A survey of neural code intelligence: Paradigms, advances and beyond},\n  author={Sun, Qiushi and Chen, Zhirui and Xu, Fangzhi and Cheng, Kanzhi and Ma, Chang and Yin, Zhangyue and Wang, Jianing and Han, Chengcheng and Zhu, Renyu and Yuan, Shuai and others},\n  journal={arXiv preprint arXiv:2403.14734},\n  year={2024}\n}\n```\n\u003c!-- \n\n```bibtex\n@misc{sun2024ncisurvey,\n  title         = {A Survey of Neural Code Intelligence: Paradigms, Advances and Beyond},\n  author        = {Qiushi Sun and Zhirui Chen and Fangzhi Xu and Kanzhi Cheng and Chang Ma and \n                   Zhangyue Yin and Jianing Wang and Chengcheng Han and Renyu Zhu and Shuai Yuan \n                   and Qipeng Guo and Xipeng Qiu and Pengcheng Yin and Xiaoli Li and Fei Yuan and\n                   Lingpeng Kong and Xiang Li and Zhiyong Wu},\n  eprint        = {2403.14734},\n  archivePrefix = {arXiv},\n  year          = {2024}\n}\n``` --\u003e\n\n## Acknowledgements\n\nThis is an open collaborative research project among:\n\n\u003ca href=\"https://huggingface.co/OpenAGILab\"\u003e\n    \u003cimg src=\"assets/logos/pjlab-logo.png\" alt=\"Shark-NLP Shanghai AI Lab\" height = 50/\u003e\n\u003c/a\u003e\n\u003ca href=\"https://hkunlp.github.io/\"\u003e\n    \u003cimg src=\"assets/logos/hku_logo.png\" alt=\"Shark-NLP Shanghai AI Lab\" height = 50/\u003e\n\u003c/a\u003e\n\u003ca href=\"https://nus.edu.sg/\"\u003e\n    \u003cimg src=\"assets/logos/logo-high.png\" alt=\"NUS\" height = 50/\u003e\n\u003c/a\u003e\n\u003ca href=\"https://github.com/Shark-NLP\"\u003e\n    \u003cimg src=\"assets/logos/ecnu.svg.png\" alt=\"A*STAR\" height = 50/\u003e\n\u003c/a\u003e\n\u003ca href=\"https://dase.ecnu.edu.cn/\"\u003e\n    \u003cimg src=\"assets/logos/astar-logo.png\" alt=\"A*STAR\" height = 50/\u003e\n\u003c/a\u003e\n\u003ca href=\"https://nlp.fudan.edu.cn/nlpen/main.htm\"\u003e\n    \u003cimg src=\"assets/logos/fudannlp_logo.png\" alt=\"A*STAR\" height = 50/\u003e\n\u003c/a\u003e\n\u003ca href=\"https://deepmind.google/\"\u003e\n    \u003cimg src=\"assets/logos/DeepMind_new_logo.png\" alt=\"A*STAR\" height = 50/\u003e\n\u003c/a\u003e\n\n\n\n\n## Repository Contributors\n\n\u003ca href=\"qiushisun.github.io\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/QiushiSun\"  width=\"50\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/jet1004\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/jet1004\"  width=\"50\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://xufangzhi.github.io/\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/xufangzhi\"  width=\"50\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/Luciferder\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/Luciferder\"  width=\"50\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://scholar.google.com/citations?user=9gRQqSkAAAAJ\u0026hl=en\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/yinzhangyue\"  width=\"50\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://scholar.google.com/citations?user=S2IPVnwAAAAJ\u0026hl=zh-CN\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/njucckevin\"  width=\"50\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://chang-github-00.github.io/-changma/\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/chang-github-00\"  width=\"50\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://hccngu.github.io/\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/hccngu\"  width=\"50\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://wjn1996.github.io/\"\u003e\u003cimg src=\"https://avatars.githubusercontent.com/wjn1996\"  width=\"50\" /\u003e\u003c/a\u003e\n\n\u003c!-- ## Other Good Repos for This Topic --\u003e\n\n## Star History 🌟\n\n[![Star History Chart](https://api.star-history.com/svg?repos=QiushiSun/Awesome-Code-Intelligence\u0026type=Date)](https://star-history.com/#QiushiSun/Awesome-Code-Intelligence\u0026Date)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FQiushiSun%2FAwesome-Code-Intelligence","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FQiushiSun%2FAwesome-Code-Intelligence","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FQiushiSun%2FAwesome-Code-Intelligence/lists"}