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.
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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
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me 2.1 base llms and pretraining strategies resources from awesome-code-llm"
Installation instructions →What's inside
Other Awesome LLM Reading Lists
2. Models
8. Datasets
- data8.1 Pretraining
News
5. Methods/Models for Downstream Tasks
4. Code LLM for Low-Resource, Low-Level, and Domain-Specific Languages
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