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README.md
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# AHN: Artificial Hippocampus Networks for Efficient Long-Context Modeling
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<p align="left">
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<a href="https://arxiv.org/abs/2510.
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<img src="https://img.shields.io/badge/arXiv-2510.
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</a>
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<a href="https://github.com/ByteDance-Seed/AHN">
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<img src="https://img.shields.io/badge/GitHub-AHN-181717?logo=github&logoColor=white&labelColor=555555" />
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@article{fang2025artificial,
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title={Artificial hippocampus networks for efficient long-context modeling},
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author={Fang, Yunhao and Yu, Weihao and Zhong, Shu and Ye, Qinghao and Xiong, Xuehan and Wei, Lai},
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journal={arXiv preprint arXiv:2510.
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year={2025}
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}
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```
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# AHN: Artificial Hippocampus Networks for Efficient Long-Context Modeling
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<p align="left">
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<a href="https://arxiv.org/abs/2510.07318">
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<img src="https://img.shields.io/badge/arXiv-2510.07318-b31b1b?logo=arxiv&logoColor=white&labelColor=555555" />
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</a>
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<a href="https://github.com/ByteDance-Seed/AHN">
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<img src="https://img.shields.io/badge/GitHub-AHN-181717?logo=github&logoColor=white&labelColor=555555" />
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@article{fang2025artificial,
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title={Artificial hippocampus networks for efficient long-context modeling},
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author={Fang, Yunhao and Yu, Weihao and Zhong, Shu and Ye, Qinghao and Xiong, Xuehan and Wei, Lai},
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journal={arXiv preprint arXiv:2510.07318},
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year={2025}
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}
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```
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