Add library_name and pipeline_tag to metadata

README.md

@@ -1,29 +1,52 @@
 ---
-license: mit
-datasets:
-- Forceless/UltraPresent
 base_model:
 - Qwen/Qwen3.5-9B
+datasets:
+- Forceless/UltraPresent
+license: mit
+library_name: transformers
+pipeline_tag: text-generation
 ---
+
 # DeepPresenter-9B
 
-**Project**: https://github.com/icip-cas/PPTAgent  
-**Paper**: https://arxiv.org/abs/2602.22839  
+**Project**: [https://github.com/icip-cas/PPTAgent](https://github.com/icip-cas/PPTAgent)  
+**Paper**: [DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation](https://arxiv.org/abs/2602.22839)  
 
 ## Model Overview
 
-**DeepPresenter-9B** is a 9B-parameter language model designed for **automatic presentation generation**. It serves as the core model in the **DeepPresenter** framework, enabling agentic workflows that generate structured slide presentations from natural language instructions.
+**DeepPresenter-9B** is a 9B-parameter language model designed for **automatic presentation generation**. It serves as the core model in the **DeepPresenter** framework, enabling agentic workflows that generate structured slide presentations from natural language instructions. 
+
+Unlike traditional agents that rely on fixed templates, DeepPresenter uses environment-grounded reflection. This allows the system to condition its generation process on perceptual artifact states (like rendered slides), enabling it to autonomously plan, render, and revise slides to correct presentation-specific issues during execution.
 
 ## Usage
 
-DeepPresenter-9B is intended to be used with the **PPTAgent framework** for full presentation generation:
+DeepPresenter-9B is intended to be used with the **PPTAgent framework** for full presentation generation. You can use it via the CLI:
 
 ```bash
+# Interactive configuration (first time)
 uvx pptagent onboard
 
+# Generate presentation
 uvx pptagent generate "Single Page with Title: Hello World" -o hello.pptx
 ```
 
 ## Performance
 
-![image](https://cdn-uploads.huggingface.co/production/uploads/64380d17819f3ab20d17595b/PZgEPAPir2ygRvxtqtXnx.png)
+![image](https://cdn-uploads.huggingface.co/production/uploads/64380d17819f3ab20d17595b/PZgEPAPir2ygRvxtqtXnx.png)
+
+## Citation
+
+If you find this work useful, please cite the paper:
+
+```bibtex
+@misc{zheng2026deeppresenterenvironmentgroundedreflectionagentic,
+      title={DeepPresenter: Environment-Grounded Reflection for Agentic Presentation Generation},
+      author={Hao Zheng and Guozhao Mo and Xinru Yan and Qianhao Yuan and Wenkai Zhang and Xuanang Chen and Yaojie Lu and Hongyu Lin and Xianpei Han and Le Sun},
+      year={2026},
+      eprint={2602.22839},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2602.22839},
+}
+```