add img; finalize readme

README.md

@@ -1,17 +1,23 @@
 <h1 align="center">
-  <img src="images/agent_s.png" alt="Logo" style="vertical-align:middle" width="60"> Agent S:
-  <small>Using Computers Like a Human</small>
+  <img src="images/agent_s.png" alt="Logo" style="vertical-align:middle" width="60"> Agent S2:
+  <small>An Open, Modular, and Scalable Framework for Computer Use Agents</small>
 </h1>
 
-<p align="center">
-  🌐 <a href="https://www.simular.ai/agent-s">[Website]</a>
-  📄 <a href="https://arxiv.org/abs/2410.08164">[Paper]</a>
-  🎥 <a href="https://www.youtube.com/watch?v=OBDE3Knte0g">[Video]</a>
-  🗨️ <a href="https://discord.gg/E2XfsK9fPV">[Discord]</a>
+<p align="center">&nbsp;
+  🌐 <a href="https://www.simular.ai/agent-s2">[S2 blog]</a>&nbsp;
+  📄 [S2 Paper] (Coming Soon)&nbsp;
+  🎥 <a href="https://www.youtube.com/watch?v=wUGVQl7c0eg">[S2 Video]</a>
+  🗨️ <a href="https://discord.gg/E2XfsK9fPV">[Discord]</a>&nbsp;
+</p>
+
+<p align="center">&nbsp;
+  🌐 <a href="https://www.simular.ai/agent-s">[S1 blog]</a>&nbsp;
+    🎥 <a href="https://www.youtube.com/watch?v=OBDE3Knte0g">[S1 Video]</a>
+  📄 <a href="https://arxiv.org/abs/2410.08164">[S1 Paper]</a>&nbsp;
 </p>
 
 ## 🥳 Updates
-- [x] **2025/03/11**: Released Agent S2 along with v0.2.0 of [gui-agents](https://github.com/simular-ai/Agent-S), the new state-of-the-art on OSWorld, outperforming OpenAI's CUA and Anthropic's Claude 3.7 Sonnet!
+- [x] **2025/03/12**: Released Agent S2 along with v0.2.0 of [gui-agents](https://github.com/simular-ai/Agent-S), the new state-of-the-art on OSWorld, outperforming OpenAI's CUA and Anthropic's Claude 3.7 Sonnet!
 - [x] **2025/01/22**: The [Agent S paper](https://arxiv.org/abs/2410.08164) is accepted to ICLR 2025!
 - [x] **2025/01/21**: Released v0.1.2 of [gui-agents](https://github.com/simular-ai/Agent-S) library, with support for Linux and Windows!
 - [x] **2024/12/05**: Released v0.1.0 of [gui-agents](https://github.com/simular-ai/Agent-S) library, allowing you to use Agent-S for Mac, OSWorld, and WindowsAgentArena with ease!
@@ -23,13 +29,13 @@
 2. [🎯 Current Results](#-current-results)
 3. [🛠️ Installation](#%EF%B8%8F-installation) 
 4. [🚀 Usage](#-usage)
-5. [🙌 Contributors](#-contributors)
+5. [🤝 Acknowledgements](#-acknowledgements)
 6. [💬 Citation](#-citation)
 
 ## 💡 Introduction
 
 <p align="center">
-    <img src="./images/teaser.png" width="800">
+    <img src="./images/agent_s2_teaser.png" width="800">
 </p>
 
 Welcome to **Agent S**, an open-source framework designed to enable autonomous interaction with computers through Agent-Computer Interface. Our mission is to build intelligent GUI agents that can learn from past experiences and perform complex tasks autonomously on your computer. 
@@ -39,11 +45,16 @@ Whether you're interested in AI, automation, or contributing to cutting-edge age
 ## 🎯 Current Results
 
 <p align="center">
-    <img src="./images/results.png" width="600">
+    <img src="./images/agent_s2_osworld_result.png" width="600">
     <br>
-    Results of Successful Rate (%) on the OSWorld full test set of all 369 test examples using Image + Accessibility Tree input.
+    Results of Agent S2's Successful Rate (%) on the OSWorld full test set of all 369 test examples using Image input.
 </p>
 
+| Benchmark | Agent S2 | Previous SOTA | Δ improve |
+|-----------|----------|--------------|-----------|
+| OSWorld (15 step) | 27.0% | 22.7% (ByteDance UI-TARS) | +4.3% |
+| OSWorld (50 step) | 34.5% | 32.6% (OpenAI CUA) | +1.9% |
+| AndroidWorld | 60.0% | 46.8% (ByteDance UI-TARS) | +13.2% |
 
 ## 🛠️ Installation & Setup
 
@@ -173,9 +184,9 @@ Refer to `gui_agents/s2/cli_app.py` for more details on how the inference loop w
 
 To deploy Agent S2 in OSWorld, follow the [OSWorld Deployment instructions](OSWorld.md).
 
-## 🙌 Contributors
+## 🤝 Acknowledgements
 
-We’re grateful to all the [amazing people](https://github.com/simular-ai/Agent-S/graphs/contributors) who have contributed to this project. Additionally, we'd like to thank OSWorld author Tianbao Xie and UI-TARS authors Yujia Qin and Shihao Liang for collaborating and discussing our challenges with us. Thank you! 🙏  
+We extend our sincere thanks to Tianbao Xie for developing OSWorld. We also appreciate the engaging discussions with Tianbao Xie, Yujia Qin, and Shihao Liang regarding UI-TARS. Their insights and collaborative spirit helped us navigate challenges and refine our work!
 
 ## 💬 Citation
 ```