reasoning-survey/Awesome-Reasoning-Foundation-Models
A curated academic list aggregating research papers and benchmarks on reasoning capabilities of large language models and foundation models.
Not currently ranked — collecting fresh signals.
star history
This repository compiles a comprehensive survey of foundation models and reasoning research, organized into three model categories: language, vision, and multimodal. It catalogs reasoning tasks including commonsense, mathematical, logical, causal, visual, audio, and agent reasoning. The list also covers reasoning techniques such as pre-training, fine-tuning, alignment training, mixture of experts, in-context learning, and autonomous agent systems.
Frequently asked
- What is reasoning-survey/Awesome-Reasoning-Foundation-Models?
- A curated academic list aggregating research papers and benchmarks on reasoning capabilities of large language models and foundation models.
- Is Awesome-Reasoning-Foundation-Models open source?
- Yes — reasoning-survey/Awesome-Reasoning-Foundation-Models is open source, released under the MIT license.
- How popular is Awesome-Reasoning-Foundation-Models?
- reasoning-survey/Awesome-Reasoning-Foundation-Models has 656 stars on GitHub.
- Where can I find Awesome-Reasoning-Foundation-Models?
- reasoning-survey/Awesome-Reasoning-Foundation-Models is on GitHub at https://github.com/reasoning-survey/Awesome-Reasoning-Foundation-Models.