Update README.md

README.md

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----
-license: apache-2.0
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+---
+license: apache-2.0
+---
+
+# HermesFlow
+
+Official Repository of the paper: *[HermesFlow](https://github.com/Gen-Verse/HermesFlow)*.
+<p align="left">
+  <a href='https://arxiv.org/abs/2502.12148'>
+  <img src='https://img.shields.io/badge/Arxiv-2502.12148-A42C25?style=flat&logo=arXiv&logoColor=A42C25'></a> 
+  <a href='https://github.com/Gen-Verse/HermesFlow'>
+    <img src='https://img.shields.io/badge/GitHub-Code-black?style=flat&logo=github&logoColor=white'></a> 
+</p>
+<img src="./pipeline.png" style="zoom:100%;" />
+
+<img src="./image.png" style="zoom:100%;" />
+
+<img src="./image-1.png" style="zoom:100%;" />
+
+## News🔥🔥🔥
+
+* Feb.18, 2025. Our checkpoints are publicly available on [HuggingFace Repo](https://huggingface.co/Gen-Verse/HermesFlow).
+
+## Introduction
+
+HermesFlow is a general alignment framework for multimodal LLMs, which cruate homologous preference data itself and utilize self-play iterative optimization with Pair-DPO to seamlessly close the gap between multimodal understanding and generation.
+
+## Citation
+
+```
+@article{yang2025hermesflow,
+  title={HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation},
+  author={Yang, Ling and Zhang, Xinchen and Tian, Ye and Shang, Chenming and Xu, Minghao and Zhang, Wentao and Cui, Bin},
+  journal={arXiv preprint arXiv:2502.12148},
+  year={2025}
+}
+```
+
+