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# SenseNova-SI: 探索空间智能在多模态基础模型上尺度效应
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## 概览
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尽管多模态学习取得了显著进展，当前主流模型在空间智能方面仍存在明显不足，
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# SenseNova-SI: 探索空间智能在多模态基础模型上尺度效应
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<a href="https://github.com/OpenSenseNova/SenseNova-SI" target="_blank">
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<img alt="Code" src="https://img.shields.io/badge/SenseNova_SI-Code-100000?style=flat-square&logo=github&logoColor=white" height="20" />
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</a>
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<a href="https://arxiv.org/abs/2511.13719" target="_blank">
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<img alt="arXiv" src="https://img.shields.io/badge/arXiv-SenseNova_SI-red?logo=arxiv" height="20" />
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</a>
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<a href="https://github.com/EvolvingLMMs-Lab/EASI" target="_blank">
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<img alt="Code" src="https://img.shields.io/badge/EASI-Code-100000?style=flat-square&logo=github&logoColor=white" height="20" />
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</a>
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<a href="https://huggingface.co/spaces/lmms-lab-si/EASI-Leaderboard" target="_blank">
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<img alt="Leaderboard" src="https://img.shields.io/badge/%F0%9F%A4%97%20_EASI-Leaderboard-ffc107?color=ffc107&logoColor=white" height="20" />
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</a>
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🔥欢迎体验我们新发布的 [**SenseNova-SI-1.1-InternVL3-2B**](https://huggingface.co/sensenova/SenseNova-SI-1.1-InternVL3-2B) 和
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[**SenseNova-SI-1.1-InternVL3-8B**](https://huggingface.co/sensenova/SenseNova-SI-1.1-InternVL3-8B)。
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⏳***当前模型将在适当的时候停用。***
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## 概览
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尽管多模态学习取得了显著进展，当前主流模型在空间智能方面仍存在明显不足，
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