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README.md

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 # LLaVA-Med: Large Language and Vision Assistant for BioMedicine
 
-*Visual instruction tuning towards large language and vision models with GPT-4 level capabilities.*
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-[[Project Page](https://llava-vl.github.io/)] [[Paper](https://arxiv.org/abs/2304.08485)] [[Demo](https://llava.hliu.cc/)]  [[Data](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K)] [[Model](https://huggingface.co/liuhaotian/LLaVA-13b-delta-v0)]
+*Visual instruction tuning towards buiding large language and vision models with GPT-4 level capabilities in the biomedicine space.*
 
+<!-- [[Project Page](https://llava-vl.github.io/)] [[Paper](https://arxiv.org/abs/2304.08485)] [[Demo](https://llava.hliu.cc/)]  [[Data](https://huggingface.co/datasets/liuhaotian/LLaVA-Instruct-150K)] [[Model](https://huggingface.co/liuhaotian/LLaVA-13b-delta-v0)]
+ -->
 **LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day** <br>
-[Chunyuan Li*](https://chunyuan.li/), [Haotian Liu*](https://hliu.cc),  (*Equal Contribution)
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+[Chunyuan Li](https://chunyuan.li/), [Cliff Wong](https://scholar.google.com/citations?user=Sl05ifcAAAAJ&hl=en), [Sheng Zhang](https://scholar.google.com/citations?user=-LVEXQ8AAAAJ&hl=en), [Naoto Usuyama](https://www.microsoft.com/en-us/research/people/naotous/), [Jianwei Yang](https://jwyang.github.io/), [Haotian Liu](https://hliu.cc), [Tristan Naumann](https://scholar.google.com/citations?user=cjlSeqwAAAAJ&hl=en), [Hoifung Poon](https://scholar.google.com/citations?user=yqqmVbkAAAAJ&hl=en), [Jianfeng Gao](https://scholar.google.com/citations?user=CQ1cqKkAAAAJ&hl=en)
 
 <p align="center">
-    <img src="images/llava_logo.png" width="50%"> <br>
+    <img src="images/llava_med_logo.png" width="50%"> <br>
+</p>
+
+<p align="center" width="80%">
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+ *Generated by  <a href="https://gligen.github.io/">GLIGEN</a>  using the grounded inpainting mode, with three boxes: ``white doctor coat``, ``stethoscope``, ``white doctor hat with a red cross sign``.*
+
 </p>
-*Generated by <a href="https://gligen.github.io/">GLIGEN</a> using the grounded inpainting mode, with three boxes: "white doctor coat", "stethoscope", "white doctor hat with a red cross sign".*