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  "author": "Jinfeng Wei",
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  "author": "Jinfeng Wei",
            
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  "author_email": "",
            
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  "doi": "10.57702/f0jpybn2",
            
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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Xiaofeng Zhang",
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      "extra_author": "Xiaofeng Zhang",
            
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      "name": "multimodal-learning",
            
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      "title": "Multimodal Learning"
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      "title": "Multimodal Learning"
            
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      "description": "",
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      "description": "",
            
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      "title": "Visual Question Answering"
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      "title": "Visual Question Answering"
            
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  "name": "llava-1-5",
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  "name": "llava-1-5",
            
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  "notes": "The dataset used in this paper is a multimodal large 
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  "notes": "The dataset used in this paper is a multimodal large 
            
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language model (LLaMA) dataset, specifically LLaVA-1.5, which consists 
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language model (LLaMA) dataset, specifically LLaVA-1.5, which consists 
            
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of 7 billion parameters and is used for multimodal tasks such as image 
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of 7 billion parameters and is used for multimodal tasks such as image 
            
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captioning and visual question answering.",
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captioning and visual question answering.",
            
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}