Update README.md

README.md

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+<div align="center">
+  <h2>GeoX: Geometric Problem Solving Through Unified Formalized Vision-Language Pre-training</h2>
+  <p align="center">
+    <a href="">💡Project Page</a> •
+    <a href="">📃Arxiv Paper</a> •
+    <a href="https://huggingface.co/datasets/U4R/GeoX-data">🗂Dataset</a> •
+    <a href="https://huggingface.co/U4R/GeoX">🤗Checkpoint •
+    <a href="#-citation">📖Citation
+  </p>
+  <br>
+  <img width="95%" src=./assets/teaser.png>
+</div>
+
 
 ## Introduction to GeoX
 
 **GeoX** is a multi-modal large model designed for automatic geometric problem solving, utilizing three progressive training stages to enhance diagram understanding and reasoning. In this paper, we validate that the **formal vision-language training** paradigm is a simple-yet-effective solution for complex mathematical diagram learning.
 
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 ## Data Preparation for GeoX
 
 ### Step 1. Data for Unimodal Pre-training
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 ### Step 2. Data for Geometry-Language Alignment
 
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 To train the GS-Former, please prepare the [unified formal annotations](https://huggingface.co/datasets/U4R/GeoX-data/unified_formal_annotations.json) and paired [images](https://huggingface.co/datasets/U4R/GeoX-data/images.zip).
 
 ### Step 3. Data for End-to-End Visual Instruction Tuning
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 For more details, please refer to [our paper]() and our [GitHub repository](https://github.com/UniModal4Reasoning/GeoX). If you find our work helpful, please consider starring ⭐ in this repository and citing us:
 
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+## Citation
 ```bibtex
 
 ```