Update README.md

README.md

@@ -15,8 +15,19 @@ base_model:
 
 
 # Unified-Reward-7B-v1.5
-We are actively gathering feedback from the community to improve our models. **We welcome your input and encourage you to stay updated through our repository**!!
 
+## Model Summary
+
+`Unified-Reward-7b-v1.5` is the enhanced version of [Unified-Reward-7b](https://huggingface.co/CodeGoat24/UnifiedReward-7b/blob/main/README.md), the first unified reward model for multimodal understanding and generation assessment, enabling both pairwise ranking and pointwise scoring, which can be employed for vision model preference alignment.
+
+For further details, please refer to the following resources:
+- 📰 Paper: https://arxiv.org/pdf/2503.05236
+- 🪐 Project Page: https://codegoat24.github.io/UnifiedReward/
+- 🤗 Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
+- 🤗 Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede
+- 👋 Point of Contact: [Yibin Wang](https://codegoat24.github.io)
+
+# 🔥 News
 [2025/10/23] 🔥🔥🔥 We release **UnifiedReward-Edit**-[[3b](https://huggingface.co/CodeGoat24/UnifiedReward-Edit-qwen-3b)/[7b](https://huggingface.co/CodeGoat24/UnifiedReward-Edit-qwen-7b)/[32b](https://huggingface.co/CodeGoat24/UnifiedReward-Edit-qwen-32b)], a unified reward model for **both Text-to-Image and Image-to-Image generation** trained on approximately 700K unified image generation and editing reward data!!
 For image editing reward task, our models support:
 
@@ -48,18 +59,6 @@ The added inference code is available at [`inference_qwen/UnifiedReward-2.0-infe
 
 Welcome to download the latest version!
 
-## Model Summary
-
-`Unified-Reward-7b-v1.5` is the enhanced version of [Unified-Reward-7b](https://huggingface.co/CodeGoat24/UnifiedReward-7b/blob/main/README.md), the first unified reward model for multimodal understanding and generation assessment, enabling both pairwise ranking and pointwise scoring, which can be employed for vision model preference alignment.
-
-For further details, please refer to the following resources:
-- 📰 Paper: https://arxiv.org/pdf/2503.05236
-- 🪐 Project Page: https://codegoat24.github.io/UnifiedReward/
-- 🤗 Model Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-models-67c3008148c3a380d15ac63a
-- 🤗 Dataset Collections: https://huggingface.co/collections/CodeGoat24/unifiedreward-training-data-67c300d4fd5eff00fa7f1ede
-- 👋 Point of Contact: [Yibin Wang](https://codegoat24.github.io)
-
-
 ## 🏁 Compared with Current Reward Models
 
 |  Reward Model | Method| Image Generation | Image Understanding | Video Generation | Video Understanding