Update README.md

README.md

@@ -73,6 +73,7 @@ The proposed Q-Bench includes three realms for low-level vision: perception (A1)
 - For assessment (A3), as we use **public datasets**, we provide an abstract evaluation code for arbitrary MLLMs for anyone to test.
 
 ## Release
+- [2024/6/3] 🔥 [Github repo](https://github.com/Q-Future/A-Bench) for **A-Bench** is online. Do you want to find out if your LMM is a master at evaluating AI-generated images? Come and test on **A-Bench** !!
 - [3/1]  🔥 We are releasing **Co-instruct**, *Towards Open-ended Visual Quality Comparison* [here](https://co-instruct.github.io/). More details are coming soon.
 - [2/27] 🔥 Our work **Q-Insturct** has been accepted by CVPR 2024, try to learn the [details](https://github.com/Q-Future/Q-Instruct) about how to instruct MLLMs on low-level vision!
 - [2/23] 🔥 The low-level vision compare task part of [Q-bench+](https://arxiv.org/abs/2402.07116) is now released at [Huggingface](https://huggingface.co/datasets/q-future/q-bench2)!