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SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference
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</h3>
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[![Paper](https://img.shields.io/badge/Paper-arXiv-red?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/pdf/2410.04417)
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[![Code](https://img.shields.io/badge/Code-GitHub-black?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Gumpest/SparseVLMs/tree/v1.5)
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[![Paper](https://img.shields.io/badge/V1.5%20Paper-arXiv-red?style=for-the-badge&logo=arxiv&logoColor=white)](https://arxiv.org/pdf/2410.04417)
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[![Code](https://img.shields.io/badge/V1.5%20Code-GitHub-black?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Gumpest/SparseVLMs/tree/v1.5)
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<!-- <p style="margin-top: 0; font-size: 0.6em; line-height: 1.4em;">
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<b><a href="https://gumpest.github.io/">Yuan Zhang</a></b><sup>1,3*</sup>,
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SparseVLM+: Visual Token Sparsification with Improved Text-Visual Attention Pattern
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</h3>
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[![Paper](https://img.shields.io/badge/Paper-arXiv-red?style=for-the-badge&logo=arxiv&logoColor=white)](#)
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[![Code](https://img.shields.io/badge/Code-GitHub-black?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Gumpest/SparseVLMs)
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[![Paper](https://img.shields.io/badge/V2.0%20Paper-arXiv-red?style=for-the-badge&logo=arxiv&logoColor=white)](#)
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[![Code](https://img.shields.io/badge/V2.0%20Code-GitHub-black?style=for-the-badge&logo=github&logoColor=white)](https://github.com/Gumpest/SparseVLMs)
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<!-- <p style="margin-top: 0; font-size: 0.6em; line-height: 1.4em;">
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<b><a href="https://gumpest.github.io/">Yuan Zhang</a></b><sup>1*</sup>,
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## 📜 News
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🔥 **[2025/12/11]** We released new version **[SparseVLM+](https://arxiv.org/pdf/2410.04417)**! **Stronger Performance with Improved Text-Visual Attention Pattern**!
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🔥 **[2025/12/11]** We released new version **[SparseVLM+](https://arxiv.org/pdf/2410.04417)**! Bring a **Stronger Performance with Improved Text-Visual Attention Pattern**!
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🔥 **[2025/06/04]** The sparsification code for **[VideoLLaVA](https://github.com/Gumpest/SparseVLMs/tree/video)** is now open source! Please check the `video branch`.
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