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README.md

@@ -1,32 +1,32 @@
 ---
 license: apache-2.0
-language:
-- en
+pipeline_tag: robotics
+library_name: transformers
 ---
-<h1 align="center">Causal World Modeling for Robot Control</h1>
 
+<h1 align="center">Causal World Modeling for Robot Control</h1>
 
 <p align="center">
   <img src="assets/teaser.png" width="100%">
 </p>
 
-**LingBot-VA** has focused on:
+**LingBot-VA** is an autoregressive diffusion framework that learns frame prediction and policy execution simultaneously, introduced in the paper [Causal World Modeling for Robot Control](https://huggingface.co/papers/2601.21998).
+
+It focuses on:
 - **Autoregressive Video-Action World Modeling**: Architecturally unifies visual dynamics prediction and action inference within a single interleaved sequence while maintaining their conceptual distinction.
-- **High-efficiency Execution**: A dual-stream mixture-of-transformers(MoT) architecture with Asynchronous Execution and KV Cache.
+- **High-efficiency Execution**: A dual-stream mixture-of-transformers (MoT) architecture with Asynchronous Execution and KV Cache.
 - **Long-Horizon Performance and Generalization**: High improvements in sample efficiency, long-horizon success rates, and generalization to novel scenes.
 
-
 ---
 
-#  Model Sources
+# Model Sources
 
 - **Repository:** [https://github.com/Robbyant/lingbot-va](https://github.com/Robbyant/lingbot-va)
-- **Paper:** [https://arxiv.org/abs/2601.21998](https://arxiv.org/abs/2601.21998)
+- **Paper:** [Causal World Modeling for Robot Control](https://huggingface.co/papers/2601.21998)
 - **Project Page:** [https://technology.robbyant.com/lingbot-va](https://technology.robbyant.com/lingbot-va)
 
 ---
 
-
 # 📦 Model Download
 - **Pretrained Checkpoints for Post-Training**
 
@@ -37,7 +37,46 @@ language:
 | lingbot-va-posttrain-libero-long &nbsp; | [🤗 robbyant/lingbot-va-posttrain-libero-long &nbsp;](https://huggingface.co/robbyant/lingbot-va-posttrain-libero-long) | [🤖 Robbyant/lingbot-va-posttrain-libero-long &nbsp;](https://modelscope.cn/models/Robbyant/lingbot-va-posttrain-libero-long)  | LingBot-VA-Posttrain-Libero-Long w/ shared backbone|
 ---
 
-# 📚Citation
+# 🛠️ Quick Start
+
+## Installation
+**Requirements**
+ • Python == 3.10.16
+ • Pytorch == 2.9.0
+ • CUDA 12.6
+
+```bash
+pip install torch==2.9.0 torchvision==0.24.0 torchaudio==2.9.0 --index-url https://download.pytorch.org/whl/cu126
+pip install websockets einops diffusers==0.36.0 transformers==5.0.0 accelerate msgpack opencv-python matplotlib ftfy easydict
+pip install flash-attn --no-build-isolation
+```
+
+## Run Image to Video-Action Generation
+We provide a script for image to video-action generation:
+
+```bash
+NGPU=1 CONFIG_NAME='robotwin_i2av' bash script/run_launch_va_server_sync.sh 
+```
+
+---
+
+# 📊 Performance
+
+We evaluate our model on both simulation benchmarks and real-world scenarios, achieving state-of-the-art performance.
+
+## Simulation Evaluation (Success Rate %)
+
+| Method (Average 50 Tasks) | Easy SR (%) | Hard SR (%) |
+| :--- | :---: | :---: |
+| X-VLA | 72.9 | 72.8 |
+| π₀ | 65.9 | 58.4 |
+| π₀.₅ | 82.7 | 76.8 |
+| Motus | 88.7 | 87.0 |
+| **LingBot-VA (Ours)** | **92.9** | **91.6** |
+
+---
+
+# 📚 Citation
 
 ```bibtex
 @article{lingbot-va2026,
@@ -48,7 +87,6 @@ language:
 }
 ```
 
-
 # 🪪 License
 
 This project is released under the Apache License 2.0. See [LICENSE](LICENSE) file for details.
@@ -56,14 +94,5 @@ This project is released under the Apache License 2.0. See [LICENSE](LICENSE) fi
 # 🧩 Acknowledgments
 
 This work builds upon several excellent open-source projects:
-
 - [Wan-Video](https://github.com/Wan-Video) - Vision transformer backbone
-- [MoT](https://github.com/facebookresearch/Mixture-of-Transformers) - Mixture-of-Transformers architecture
-- The broader open-source computer vision and robotics communities
-
-<!-- ---
-
-For questions, discussions, or collaborations: -->
-
-<!-- - **Issues**: Open an [issue](https://github.com/robbyant/lingbot-depth/issues) on GitHub
-- **Email**: Contact Dr. [Bin Tan](https://https://icetttb.github.io/) (tanbin.tan@antgroup.com) or Dr. [Nan Xue](https://xuenan.net) (xuenan.xue@antgroup.com) -->
+- [MoT](https://github.com/facebookresearch/Mixture-of-Transformers) - Mixture-of-Transformers architecture