Update README.md

README.md

@@ -20,4 +20,33 @@ tags:
 - GUI-Agent
 - DCL
 - ACL
----
+---
+
+## MLLM-CL Benchmark Description
+MLLM-CL is a novel benchmark encompassing domain and ability continual learning, where the former focuses on independently and identically distributed (IID) evaluation across evolving mainstream domains, 
+whereas the latter evaluates on non-IID scenarios with emerging model ability.
+For more details, please refer to: 
+
+**MLLM-CL: Continual Learning for Multimodal Large Language Models** [[paper](https://arxiv.org/abs/2506.05453)], [[code](https://github.com/bjzhb666/MLLM-CL/)].
+
+[‪Hongbo Zhao](https://scholar.google.com/citations?user=Gs22F0UAAAAJ&hl=zh-CN), [Fei Zhu](https://impression2805.github.io/), [Haiyang Guo](https://ghy0501.github.io/guohaiyang0501.github.io/), [Meng Wang](https://moenupa.github.io/), Rundong Wang, [‪Gaofeng Meng](https://scholar.google.com/citations?hl=zh-CN&user=5hti_r0AAAAJ), [‪Zhaoxiang Zhang‬](https://scholar.google.com/citations?hl=zh-CN&user=qxWfV6cAAAAJ)
+
+## Usage
+This repo is used to open-source all the experts in MLLM-CL experiments, including 4 branches.
+
+## Citation
+```
+@article{zhao2025mllm,
+  title={MLLM-CL: Continual Learning for Multimodal Large Language Models},
+  author={Zhao, Hongbo and Zhu, Fei and Guo, Haiyang and Wang, Meng and Wang, Rundong and Meng, Gaofeng and Zhang, Zhaoxiang},
+  journal={arXiv preprint arXiv:2506.05453},
+  year={2025}
+}
+```
+## Contact
+Please post an issue in our Github.
+
+## About us: MLLM-CL Community
+![](community.jpeg "Magic Gardens")
+We are the members from MLLM-CL, an open-source community focus on Continual learning of Multimodal Large Language Models. 
+If you are interested in our community, feel free to contact us in github or email.