Update README.md

README.md

@@ -1,20 +1,27 @@
----
-license: mit
----
-
-# iVideoGPT (Pre-trained on Open X-Embodiment, 64x64 resolution, action-free, medium size)
-
-Pre-trained model introduced in the paper [iVideoGPT: Interactive VideoGPTs are Scalable World Models](https://arxiv.org/abs/2405.15223).
-
-See https://github.com/thuml/iVideoGPT for examples for using this model.
-
-## Citation
-
-```
-@inproceedings{wu2024ivideogpt,
-    title={iVideoGPT: Interactive VideoGPTs are Scalable World Models}, 
-    author={Jialong Wu and Shaofeng Yin and Ningya Feng and Xu He and Dong Li and Jianye Hao and Mingsheng Long},
-    booktitle={Advances in Neural Information Processing Systems},
-    year={2024}
-}
+---
+license: mit
+tags:
+- world-model
+- open-x-embodiment
+- robotic-manipulation
+- video-generation
+- video-prediction
+- gpt
+---
+
+# iVideoGPT (Pre-trained on Open X-Embodiment, 64x64 resolution, action-free, medium size)
+
+Pre-trained model introduced in the paper [iVideoGPT: Interactive VideoGPTs are Scalable World Models](https://arxiv.org/abs/2405.15223).
+
+See https://github.com/thuml/iVideoGPT for examples for using this model.
+
+## Citation
+
+```
+@inproceedings{wu2024ivideogpt,
+    title={iVideoGPT: Interactive VideoGPTs are Scalable World Models}, 
+    author={Jialong Wu and Shaofeng Yin and Ningya Feng and Xu He and Dong Li and Jianye Hao and Mingsheng Long},
+    booktitle={Advances in Neural Information Processing Systems},
+    year={2024}
+}
 ```