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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
21 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 →