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  ## Overview
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- The PoNet model was proposed in PoNet: Pooling Network for Efficient Token Mixing in Long Sequences by Chao-Hong Tan, Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Zhen-Hua Ling.
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  We propose a novel Pooling Network for token mixing with linear complexity, achieve competitive performance on the Long Range Arena benchmark, and 95.7% of the accuracy of BERT on the GLUE demonstrating its transferability.
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  ## Overview
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+ > This is a code repository for ***[PoNet: Pooling Network for Efficient Token Mixing in Long Sequences](https://arxiv.org/abs/2110.02442)*** by Chao-Hong Tan, Qian Chen, Wen Wang, Qinglin Zhang, Siqi Zheng, Zhen-Hua Ling.
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  We propose a novel Pooling Network for token mixing with linear complexity, achieve competitive performance on the Long Range Arena benchmark, and 95.7% of the accuracy of BERT on the GLUE demonstrating its transferability.
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