|
--- |
|
license: mit |
|
language: |
|
- en |
|
--- |
|
# Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing |
|
|
|
The official checkpoint release of ICLR 2025 paper "[Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing](https://arxiv.org/abs/2501.00658)". |
|
|
|
Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Atlas Wang, Pan Li |
|
|
|
Please refer to our [GitHub repo](https://github.com/VITA-Group/SSM-Bottleneck) for more information. |
