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awesome-code-llm

github.com/codefuse-ai/awesome-code-llm ↗

[TMLR] A curated list of language modeling researches for code (and other software engineering activities), plus related datasets.

3.4k
GitHub Stars
2.3k
Curated Resources
10
Categories
8 hours ago
Last Refreshed
News1. Surveys2. Models3. When Coding Meets Reasoning4. Code LLM for Low-Resource, Low-Level, and Domain-Specific Languages5. Methods/Models for Downstream Tasks6. Analysis of AI-Generated Code7. Human-LLM Interaction8. DatasetsOther Awesome LLM Reading Lists

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What's inside

2. Models

  • blog2.1 Base LLMs and Pretraining Strategies

  • blog2.3 General Pretraining on Code

  • blog2.3 General Pretraining on Code

  • blog2.1 Base LLMs and Pretraining Strategies

  • paper2.1 Base LLMs and Pretraining Strategies

  • paper2.4 (Instruction) Fine-Tuning on Code

8. Datasets

5. Methods/Models for Downstream Tasks

4. Code LLM for Low-Resource, Low-Level, and Domain-Specific Languages

6. Analysis of AI-Generated Code

  • paperSecurity and Vulnerabilities

  • paperSecurity and Vulnerabilities

  • paperSecurity and Vulnerabilities

  • paperSecurity and Vulnerabilities

  • paperSecurity and Vulnerabilities

  • paperSecurity and Vulnerabilities

7. Human-LLM Interaction

Showing a sample of 2.3k resources. View the full list on GitHub →