# CSfufu/Revisual-R1

<https://repo.masters-masters.com/en/repos/CSfufu/Revisual-R1>

[Home](https://repo.masters-masters.com/en) › [CSfufu](https://repo.masters-masters.com/en/owners/CSfufu) › [Revisual-R1](https://repo.masters-masters.com/en/repos/CSfufu/Revisual-R1)

CSfufu/Revisual-R1 has 210 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICLR 2026\]🚀ReVisual-R1 is a 7B open-source multimodal language model that…

| Field | Value |
| --- | --- |
| Owner | [CSfufu](https://repo.masters-masters.com/en/owners/CSfufu) |
| Stars | 210 |
| Forks | 2 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2025 |
| Topics | data-efficiency, mathematical-reasoning, reinforcement-learning, visual-reasoning, cold-start-initialization, efficient-length-reward, multimodal-large-language-model, open-source-7b-model, prioritized-advantage-distillation, self-reflective-chain-of-thought |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [CSfufu/Revisual-R1](https://github.com/CSfufu/Revisual-R1) |

## Repository

\[ICLR 2026\]🚀ReVisual-R1 is a 7B open-source multimodal language model that follows a three-stage curriculum—cold-start pre-training, multimodal reinforcement learning, and text-only reinforcement learning—to achieve faithful, concise, and self-reflective state-of-the-art performance in visual and…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.