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This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-based Reasoning MLLMs!

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Awesome RL-based Reasoning MLLMs

License: MIT Awesome

Recent advancements in leveraging reinforcement learning to enhance LLM reasoning capabilities have yielded remarkably promising results, exemplified by DeepSeek-R1, Kimi k1.5, OpenAI o3-mini, Grok 3. These exhilarating achievements herald ascendance of Large Reasoning Models, making us advance further along the thorny path towards Artificial General Intelligence (AGI). Study of LLM reasoning has garnered significant attention within the community, and researchers have concurrently summarized awesome RL-based LLM reasoning. Meanwhile, we have observed that remarkably awesome work has already been done in the domain of Multimodal Large Language Models (MLLMs), encompassing both multimodal understanding and autoregressive text-to-image generation.

"The senses are the organs by which man perceives the world, and the soul acts through them as through tools."
— Leonardo da Vinci
This repository provides valuable reference for researchers in the field of multimodality, please start your exploratory travel in RL-based Reasoning MLLMs!

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