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add ULM-R1 and ReasonGen-R1 #6

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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -123,6 +123,7 @@ Designed to help researchers and practitioners explore, compare, and build state
| OmniMamba | [OmniMamba: Efficient and Unified Multimodal Understanding and Generation via State Space Models](https://arxiv.org/abs/2503.08686) ![GitHub Repo stars](https://img.shields.io/github/stars/hustvl/OmniMamba?style=social) | arXiv | 2025/03/11 | [Github](https://github.com/hustvl/OmniMamba) | - |
| Janus-Pro | [Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling](https://arxiv.org/abs/2501.17811) ![GitHub Repo stars](https://img.shields.io/github/stars/deepseek-ai/Janus?style=social) | arXiv | 2025/01/29 | [Github](https://github.com/deepseek-ai/Janus) | [Demo](https://huggingface.co/spaces/deepseek-ai/Janus-Pro-7B) |
| Janus | [Janus: Decoupling Visual Encoding for Unified Multimodal Understanding and Generation](https://arxiv.org/abs/2410.13848) ![GitHub Repo stars](https://img.shields.io/github/stars/deepseek-ai/Janus?style=social) | arXiv | 2024/10/17 | [Github](https://github.com/deepseek-ai/Janus) | [Demo](https://huggingface.co/spaces/deepseek-ai/Janus-1.3B) |
| ULM-R1 | [Co-Reinforcement Learning for Unified Multimodal Understanding and Generation](https://arxiv.org/abs/2505.17534) | arXiv | 2025/05/23 | [Github](https://github.com/mm-vl/ULM-R1) | - |


##### b-5: Hybrid Encoding (Joint)
Expand Down Expand Up @@ -338,6 +339,10 @@ Designed to help researchers and practitioners explore, compare, and build state
| UniCTokens | [UniCTokens: Boosting Personalized Understanding and Generation via Unified Concept Tokens](https://arxiv.org/abs/2505.14671) ![GitHub Repo stars](https://img.shields.io/github/stars/arctanxarc/UniCTokens?style=social) | arXiv | 2025/05/20 | [Github](https://github.com/arctanxarc/UniCTokens) | - |
| Fair-UMLLM | [On Fairness of Unified Multimodal Large Language Model for Image Generation](https://arxiv.org/abs/2502.03429) | arXiv | 2025/02/05 | - | - |
| T2I-R1 | [T2I-R1: Reinforcing Image Generation with Collaborative Semantic-level and Token-level CoT](https://arxiv.org/abs/2505.00703) ![GitHub Repo stars](https://img.shields.io/github/stars/CaraJ7/T2I-R1?style=social) | arXiv | 2025/01/29 | [Github](https://github.com/CaraJ7/T2I-R1) | - |
| ULM-R1 | [Co-Reinforcement Learning for Unified Multimodal Understanding and Generation](https://arxiv.org/abs/2505.17534) | arXiv | 2025/05/23 | [Github](https://github.com/mm-vl/ULM-R1) | - |
| ReasonGen-R1 | [ReasonGen-R1: CoT for Autoregressive Image generation models through SFT and RL](https://arxiv.org/abs/2505.24875) | arXiv | 2025/05/30 | [Github](https://github.com/Franklin-Zhang0/ReasonGen-R1) | [Demo](https://reasongen-r1.github.io/) |



# Citation
If you find this repo is helpful for your research, please cite our paper:
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