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Relevant Surveys And Tutorials

Table of contents

  1. Relevant Surveys on LM4Code
  2. General Surveys on AI4SE
  3. General Surveys on LLM
  4. Repositories and Resources for LM4Code
  5. 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