Improve model card: add metadata and links

Hi! I'm Niels from the Hugging Face community team.

This PR improves your model card by adding:
- Relevant metadata (`pipeline_tag`, `library_name`, and `base_model`) to help with discoverability.
- Links to the research paper, the official GitHub repository, and the MobileIAR dataset.
- A more detailed overview of the model's role within the IFRAgent framework.

This helps researchers and developers find and use your work more effectively!

README.md

@@ -1,17 +1,30 @@
+---
+library_name: transformers
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-4B
+---
+
 ### Model Overview
 
 This model is a **Query Rewriter** implemented as described in the paper:
 
-**Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents**
+[**Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents**](https://arxiv.org/abs/2508.08645)
+
+It is part of the **IFRAgent** framework, which is designed to enhance the alignment between mobile-use agents and human intent by analyzing both explicit intention flows (step sequences) and implicit intention flows (personal preferences). The Query Rewriter leverages habit repositories and standard operating procedures (SOPs) to generate personalized queries from raw, ambiguous user input.
+
+The model is initialized with weights from **Qwen3-4B** and fine-tuned for the task of understanding and rewriting user queries based on implicit intents.
 
-It is initialized with weights from the **Qwen3-4B** model and subsequently fine-tuned (warmed up) for its specific task of understanding and rewriting user queries based on demonstrated implicit intents.
+- **Paper:** [https://arxiv.org/abs/2508.08645](https://arxiv.org/abs/2508.08645)
+- **GitHub Repository:** [MadeAgents/Quick-on-the-Uptake](https://github.com/MadeAgents/Quick-on-the-Uptake)
+- **Dataset:** [MobileIAR](https://huggingface.co/datasets/wuuuuuz/MobileIAR)
 
 ### Citation
 
 ```bibtex
 @article{wu2025quick,
   title={Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents},
-  author={Wu, Zheng and Huang, Heyuan and Yang, Yanjia and Song, Yuanyi and Lou, Xingyu and Liu, Weiwen and Zhang, Weinan and Wang, Jun and Zhang, Zhuosheng},
+  author={Wu, Zheng and Huang, Heyuan d Yang, Yanjia and Song, Yuanyi and Lou, Xingyu and Liu, Weiwen and Zhang, Weinan and Wang, Jun and Zhang, Zhuosheng},
   journal={arXiv preprint arXiv:2508.08645},
   year={2025}
 }
+```