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README.md

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 # ViCA-7B: Visuospatial Cognitive Assistant
 
+[![arXiv](https://img.shields.io/badge/arXiv-2505.12312-B31B1B?logo=arxiv&link=https://arxiv.org/abs/2505.12312)](https://arxiv.org/abs/2505.12312)
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 > You may also be interested in our other project, **ViCA2**. Please refer to the following links:
 
 [![GitHub](https://img.shields.io/badge/GitHub-ViCA2-181717?logo=github&logoColor=white)](https://github.com/nkkbr/ViCA)
 
 [![Hugging Face Models](https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-ViCA2-blue)](https://huggingface.co/nkkbr/ViCA2)
 
+[![arXiv](https://img.shields.io/badge/arXiv-2505.12363-B31B1B?logo=arxiv&link=https://arxiv.org/abs/2505.12363)](https://arxiv.org/abs/2505.12363)
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 ## Overview
 
 **ViCA-7B** is a vision-language model specifically fine-tuned for *visuospatial reasoning* in indoor video environments. Built upon the LLaVA-Video-7B-Qwen2 architecture, it is trained using our newly proposed **ViCA-322K dataset**, which emphasizes both structured spatial annotations and complex instruction-based reasoning tasks.