Add metadata and links to paper and code

README.md

@@ -1,10 +1,21 @@
-
+---
 license: apache-2.0
+pipeline_tag: image-text-to-text
+library_name: transformers
+base_model: Quinn777/EMOVA-8B
+tags:
+- math
+- reasoning
+- chain-of-thought
+- multimodal
 ---
 
 # Model Card for AtomThink-EMOVA-8B
 
-The model is post-trained based on EMOVA-8B and the AtomThink framework, and can be used to solve complex multimodal mathematical problems.
+The model is post-trained based on EMOVA-8B and the [AtomThink framework](https://huggingface.co/papers/2411.11930), designed to solve complex multimodal mathematical problems through a "slow thinking" paradigm using Self-structured Chain of Thought (SCoT).
+
+- **Paper:** [AtomThink: Multimodal Slow Thinking with Atomic Step Reasoning](https://huggingface.co/papers/2411.11930)
+- **Repository:** [https://github.com/Kun-Xiang/AtomThink](https://github.com/Kun-Xiang/AtomThink)
 
 # Comparison of accuracy with state-of-the-art methods on MathVista and MathVerse:
 | **Model**             | **Inference** | **General** | **Math** | **Total** | **TL**   | **TD**   | **VI**   | **VD**   | **VO**   | **Total** |
@@ -29,8 +40,8 @@ The model is post-trained based on EMOVA-8B and the AtomThink framework, and can
 
 
 # Citation
-If you use this dataset in your research, please cite:
-```text
+If you use this model in your research, please cite:
+```bibtex
 @article{xiang2024atomthink,
   title={AtomThink: A Slow Thinking Framework for Multimodal Mathematical Reasoning},
   author={Xiang, Kun and Liu, Zhili and Jiang, Zihao and Nie, Yunshuang and Huang, Runhui and Fan, Haoxiang and Li, Hanhui and Huang, Weiran and Zeng, Yihan and Han, Jianhua and others},