Improve model card metadata and content

README.md

@@ -1,19 +1,27 @@
 ---
 license: apache-2.0
+library_name: lerobot
+pipeline_tag: robotics
 tags:
-- robotics,
+- robotics
 - lerobot
 ---
 
+# CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion
+
+[**Paper**](https://huggingface.co/papers/2601.09512) | [**Project Page**](https://tum-lsy.github.io/clare/) | [**Code**](https://github.com/utiasDSL/clare)
+
 DiT-Dec base checkpoint from "CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion", pretrained on LIBERO-90.
 
-**BibTeX:**
+CLARE is a general, parameter-efficient framework for exemplar-free continual learning with Vision-Language-Action (VLA) models. It introduces lightweight modular adapters into selected feedforward layers and autonomously expands the model only where necessary when learning a new task, guided by layer-wise feature similarity. During deployment, an autoencoder-based routing mechanism dynamically activates the most relevant adapters without requiring task labels.
+
+## BibTeX
 
 ```bibtex
 @article{romer2026clare,
   title={CLARE: Continual Learning for Vision-Language-Action Models via Autonomous Adapter Routing and Expansion},
   author={Ralf R{\"o}mer and Yi Zhang and Angela P. Schoellig},
-  journal={arXiv preprint arXiv:2601.09512}                    ,
+  journal={arXiv preprint arXiv:2601.09512},
   year={2026}
 }
 ```