diff --git a/README.md b/README.md
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@@ -17,10 +17,10 @@
 
 ## Release Notes
 
-- [2024/08/06] 🔥 **LLaVA-OneVision** is [released](https://llava-vl.github.io/blog/2024-08-05-llava-onevision/). The new 0.5/7/72B model achieves the state-of-the-art level and comparable to most powerful commercial models performance on several single-image, multi-image, and video benchmarks. We benchmarked on a total of 47 benchmarks to comprehensively reflect our model's true capabilities in diverse domains. We also release our training code, and single-image/multi-image data mixture in [LLaVA-OneVision Data](https://huggingface.co/datasets/lmms-lab/LLaVA-OneVision-Data)! Our video part data will be released via next upgrade of video specific model, stay tuned! Our training code can be directly used to train on single-image, multi-image and video data.
-  - Check our [Paper](https://arxiv.org/abs/2408.03326) for more details and to see our insights on training one model to rule them all.
-  - Check our [LLaVA-OneVision Doc](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_OneVision.md) for inference and evaluation guidance.
-  - Check our [Training Scripts](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/scripts/train) to start training models on single-image/multi-image/video data.
+- [2024/08/06] 🔥 **🚀 [LLaVA-OneVision (OV)](https://llava-vl.github.io/blog/2024-08-05-llava-onevision/)!** The new LLaVA-OV models (0.5B/7B/72B) achieve new state-of-the-art performance across single-image, multi-image, and video benchmarks, sometimes rivaling top commercial models on 47 diverse benchmarks. 📄 Explore More:
+  * [[Paper]](https://arxiv.org/abs/2408.03326): In-depth insights, new emegerging scenarios, ie, strong video understadning through task transfer from images.
+  * [[LLaVA-OV Doc]](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/docs/LLaVA_OneVision.md): Model inference and evaluation guidance.
+  * [[Scripts]](https://github.com/LLaVA-VL/LLaVA-NeXT/blob/main/scripts/train): Start training models on your single-image/multi-image/video data.
   
 - [2024/07/16] 🔥 **LLaVA-NeXT-Video** has been upgraded. The new 32B model achieves the best open-source performance on several video benchmarks, including [Video-MME](https://video-mme.github.io/home_page.html#leaderboard). Please refer to [this page](docs/LLaVA-NeXT-Video_0716.md) for details, refer to [llava_next-video_demo](https://huggingface.co/spaces/WildVision/vision-arena) for demo.
 
@@ -143,7 +143,14 @@ Checkout the HTTP Post/Get and SRT usage at [sglang/examples/usage/llava](https:
 
 If you find it useful for your research and applications, please cite related papers/blogs using this BibTeX:
 ```bibtex
-@article{li2024llava,
+@article{li2024llava-ov,
+  title={LLaVA-OneVision: Easy Visual Task Transfer},
+  author={Li, Bo and Zhang, Yuanhan and Guo, Dong and Zhang, Renrui and Li, Feng and Zhang, Hao and Zhang, Kaichen and Li, Yanwei and Liu, Ziwei and Li, Chunyuan},
+  journal={arXiv preprint arXiv:2408.03326},
+  year={2024}
+}
+
+@article{li2024llava-interleave,
   title={LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models},
   author={Li, Feng and Zhang, Renrui and Zhang, Hao and Zhang, Yuanhan and Li, Bo and Li, Wei and Ma, Zejun and Li, Chunyuan},
   journal={arXiv preprint arXiv:2407.07895},