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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.

Awesome-Reasoning-Foundation-Models
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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.

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