awesome-llm4math
github.com/tongyx361/awesome-llm4math ↗Curation of resources for LLM mathematical reasoning, most of which are screened by @tongyx361 to ensure high quality and accompanied with elaborately-written concise descriptions to help readers get the gist as quickly as possible.
157
GitHub Stars
40
Curated Resources
8
Categories
1 hour ago
Last Refreshed
(Training) DatasetsContinual Pre-Training: Methods / Models / CorporaSFT: Methods / Models / DatasetsRL: Methods / Models / DatasetsPrompting & Decoding: MethodsEvaluation: BenchmarksCurations, collections and surveysEvents
Use this list with your AI agent
Add the Context Awesome MCP server to Claude, Cursor, or any MCP client, then ask:
"Show me code integration resources from awesome-llm4math"
Installation instructions →What's inside
Events
SFT: Methods / Models / Datasets
(Training) Datasets
Continual Pre-Training: Methods / Models / Corpora
Prompting & Decoding: Methods
Resources
Curations, collections and surveys
- GitHub - lupantech/dl4math: Resources of deep learning for mathematical reasoning (DL4MATH).
lupantech/dl4math: Resources of deep learning for mathematical reasoning (DL4MATH).
Evaluation: Benchmarks
- https://arxiv.org/abs/2009.03300OpenAI - Math
- https://arxiv.org/abs/2103.03874OpenAI - Math
- https://arxiv.org/abs/2210.03057OpenAI - Math
- miniF2FOther benchmarks
- OlympiadBenchOther benchmarks
Showing a sample of 40 resources. View the full list on GitHub →