Improve model card and add metadata

README.md

@@ -1,22 +1,23 @@
-# Gen-Searcher SFT Model
-
-
-This repository contains the SFT model presented in: [Gen-Searcher](https://arxiv.org/abs/2603.28767)
+---
+license: apache-2.0
+library_name: transformers
+pipeline_tag: image-text-to-text
+---
 
-This is an intermediate model prepared for subsequent RL training.
-
-Code: https://github.com/tulerfeng/Gen-Searcher
+# Gen-Searcher SFT Model
 
+This repository contains the Supervised Fine-Tuning (SFT) model presented in the paper: [Gen-Searcher: Reinforcing Agentic Search for Image Generation](https://arxiv.org/abs/2603.28767).
 
+This is an intermediate model prepared for subsequent reinforcement learning (RL) training using the GRPO algorithm with dual reward feedback.
 
+[**🌐 Project Page**](https://gen-searcher.vercel.app/) | [**💻 Code**](https://github.com/tulerfeng/Gen-Searcher) | [**📖 Paper**](https://arxiv.org/abs/2603.28767)
 
 # 👀 Intro
 
 <div align="center">
-  <img src="https://github.com/tulerfeng/Gen-Searcher/blob/main/assets/teaser.jpg?raw=true" alt="Descriptive alt text" width="80%">
+  <img src="https://github.com/tulerfeng/Gen-Searcher/blob/main/assets/teaser.jpg?raw=true" alt="Gen-Searcher Teaser" width="80%">
 </div>
 
-
 We introduce **Gen-Searcher**, as the first attempt to train a multimodal **deep research agent** for image generation that requires complex real-world knowledge. Gen-Searcher can **search the web, browse evidence, reason over multiple sources, and search visual references** before generation, enabling more accurate and up-to-date image synthesis in real-world scenarios.
 
 We build two dedicated training datasets **Gen-Searcher-SFT-10k**, **Gen-Searcher-RL-6k** and one new benchmark **KnowGen** for search-grounded image generation. 
@@ -25,19 +26,25 @@ Gen-Searcher achieves significant improvements, delivering **15+ point gains on
 
 All code, models, data, and benchmark are fully released.
 
-
-
-
 ## 🎥 Demo
 
 #### Inference Process Example
 
 <div align="center">
-  <img src="https://github.com/tulerfeng/Gen-Searcher/blob/main/assets/example.jpg?raw=true" alt="Descriptive alt text" width="85%">
+  <img src="https://github.com/tulerfeng/Gen-Searcher/blob/main/assets/example.jpg?raw=true" alt="Inference Process Example" width="85%">
 </div>
 
+For more examples, please refer to our website [[🌐 Project Page]](https://gen-searcher.vercel.app/).
 
-For more examples, please refer to our website [[🌐Project Page]](https://gen-searcher.vercel.app/) 
-
+## Citation
 
+If you find our work helpful for your research, please consider citing our work:
 
+```bibtex
+@article{feng2026gensearcher,
+  title={Gen-Searcher: Reinforcing Agentic Search for Image Generation},
+  author={Kaituo Feng and Manyuan Zhang and Shuang Chen and Yunlong Lin and Kaixuan Fan and Yilei Jiang and Hongyu Li and Dian Zheng and Chenyang Wang and Xiangyu Yue},
+  journal={arXiv preprint arXiv:2603.28767},
+  year={2026}
+}
+```