Relevant Surveys And Tutorials Table of contents Relevant Surveys on LM4Code General Surveys on AI4SE General Surveys on LLM Repositories and Resources for LM4Code Repositories and Resources for LLM Relevant Surveys on LM4Code Large Language Models for Software Engineering: Survey and Open Problems , 2023, paper Large Language Models for Software Engineering: A Systematic Literature Review , 2023, paper A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends , 2023, paper Unifying the Perspectives of NLP and Software Engineering: A Survey on Language Models for Code , 2023, paper Software testing with large language model: Survey, landscape, and vision , 2023, paper Pitfalls in Language Models for Code Intelligence: A Taxonomy and Survey , 2023, paper Generative Artificial Intelligence for Software Engineering–A Research Agenda , 2023, paper A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly , 2023, paper Trustworthy and Synergistic Artificial Intelligence for Software Engineering: Vision and Roadmaps , 2023, paper Large language models meet NL2Code: A survey , 2023, paper A Survey on Pretrained Language Models for Neural Code Intelligence , 2022, paper General Surveys on AI4SE A systematic literature review on the use of deep learning in software engineering research , TOSEM 2022, paper A survey on deep learning for software engineering , CSUR 2022, paper Software engineering for AI-based systems: a survey , TOSEM 2021, paper Machine/deep learning for software engineering: A systematic literature review , TSE 2022, paper Machine Learning Applied to Software Testing: A Systematic Mapping Study , 2019, paper A survey of machine learning for big code and naturalness , CSUR 2018, paper General Surveys on LLM Large Language Models: A Comprehensive Survey of Applications, Challenges, Limitations, and Future Prospects , 2023, paper A survey of large language models , 2023, paper A Survey on Evaluation of Large Language Models , 2023, paper Recent advances in natural language processing via large pre-trained language models: A survey , CSUR 2023, paper A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4 , 2023, paper Challenges and Applications of Large Language Models: A Survey , 2023, paper Harnessing the power of llms in practice: A survey on chatgpt and beyond , 2023, paper A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT , 2023, paper Repositories and Resources for LM4Code LLM4SE: Large Language Models for Software Engineering Repository This repository is associated with prominent software engineering conferences like ICSE, FSE, and ASE. Awesome-Code-LLM Repository This is the repo for one survey - a comprehensive review of LLM researches for code. Works in each category are ordered chronologically. A curated list of language modeling researches for code and related datasets. awesome-ai4code-papers Repository A collection of recent papers, benchmarks and datasets of AI4Code domain. ml4code Repository Research on machine learning for source code. awesome-machine-learning-on-source-code Repository Cool links & research papers related to Machine Learning applied to source code (MLonCode) saltudelft/ml4se Repository A curated list of papers, theses, datasets, and tools related to the application of Machine Learning for Software Engineering CUHK-ARISE/ml4code-dataset Repository A collection of datasets for machine learning for big code Repositories and Resources for LLM Awesome-LLM4Tool: A Curated List of Resources for LLM Tools Repository Offers a curated list of papers, repositories, tutorials, and resources related to large language models for tools. LLMsPracticalGuide: A Curated List of Practical Resources Repository It includes an evolutionary tree of modern Large Language Models to trace the development over the years Hannibal046/Awesome-LLM Repository Awesome-LLM: a curated list of Large Language Model awesome-decentralized-llm Repository Collection of LLM resources that can be used to build products you can “own” or to perform reproducible research. RUCAIBox/LLMSurvey Repository The official GitHub page for the survey paper “A Survey of Large Language Models”. tensorchord/Awesome-LLMOps Repository An awesome & curated list of best LLMOps tools for developers luban-agi/Awesome-Domain-LLM Repository A curated list of domain-specific large language models in Chinese underlines/awesome-ml Repository Curated list of useful LLM / Analytics / Datascience resources