Add paper link and abstract to model card

README.md

@@ -1,23 +1,27 @@
 ---
+library_name: transformers
 license: apache-2.0
 pipeline_tag: image-text-to-text
 tags:
 - multimodal
 - gui
-library_name: transformers
 ---
 
 # MobiMind-Decider-7B Model
 
-This is the Decider Model of [MobiAgent](https://github.com/IPADS-SAI/MobiAgent) with 7B parameters, capable of high-level GUI interaction decision in GUI agent task execution.
+This is the Decider Model of [MobiAgent](https://github.com/IPADS-SAI/MobiAgent) with 7B parameters, as presented in the paper [MobiAgent: A Systematic Framework for Customizable Mobile Agents](https://huggingface.co/papers/2509.00531), capable of high-level GUI interaction decision in GUI agent task execution.
+
+## Paper Abstract
+
+With the rapid advancement of Vision-Language Models (VLMs), GUI-based mobile agents have emerged as a key development direction for intelligent mobile systems. However, existing agent models continue to face significant challenges in real-world task execution, particularly in terms of accuracy and efficiency. To address these limitations, we propose MobiAgent, a comprehensive mobile agent system comprising three core components: the MobiMind-series agent models, the AgentRR acceleration framework, and the MobiFlow benchmarking suite. Furthermore, recognizing that the capabilities of current mobile agents are still limited by the availability of high-quality data, we have developed an AI-assisted agile data collection pipeline that significantly reduces the cost of manual annotation. Compared to both general-purpose LLMs and specialized GUI agent models, MobiAgent achieves state-of-the-art performance in real-world mobile scenarios.
 
 ## About MobiAgent
 
 **MobiAgent** is a powerful mobile agent system including:
 
-* **An agent model family**: MobiMind
-* **An agent acceleration framework**: AgentRR
-* **An agent benchmark**: MobiFlow
+*   **An agent model family**: MobiMind
+*   **An agent acceleration framework**: AgentRR
+*   **An agent benchmark**: MobiFlow
 
 **System Architecture:**