Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing
Paper
• 2501.00658 • Published
• 7
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".
Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Atlas Wang, Pan Li
Please refer to our GitHub repo for more information.
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support