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README.md

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-# <img src="assets/som_logo.png" alt="Logo" width="40" height="40" align="left">   Set-of-Mark Prompting or GPT-4V - Visual Prompting for Vision!
+# <img src="assets/som_logo.png" alt="Logo" width="40" height="40" align="left"> Set-of-Mark Prompting or GPT-4V
 
 :grapes: \[[Read our arXiv Paper](https://arxiv.org/pdf/2310.11441.pdf)\] &nbsp; :apple: \[[Project Page](https://som-gpt4v.github.io/)\] 
 
 [Jianwei Yang](https://jwyang.github.io/)\*⚑, [Hao Zhang](https://scholar.google.com/citations?user=B8hPxMQAAAAJ&hl=en)\*, [Feng Li](https://fengli-ust.github.io/)\*, [Xueyan Zou](https://maureenzou.github.io/)\*, [Chunyuan Li](https://chunyuan.li/), [Jianfeng Gao](https://www.microsoft.com/en-us/research/people/jfgao/)
 
 \* Core Contributors &nbsp;&nbsp;&nbsp;&nbsp; ⚑ Project Lead
 
-We present **S**et-**o**f-**M**ark (SoM) prompting, simply overlaying a number of spatial and speakable marks on the images, to unleash the visual grounding abilities in the strongest LMM. GPT-4V.
+### Introduction
+
+We present **S**et-**o**f-**M**ark (SoM) prompting, simply overlaying a number of spatial and speakable marks on the images, to unleash the visual grounding abilities in the strongest LMM -- GPT-4V. **Let's using visual prompting for vision**!
 
 ![method2_xyz](https://github.com/microsoft/SoM/assets/34880758/32a269c4-8465-4eaf-aa90-48e9534649d9)