possibly useful materials and tutorial for learning RWKV.
RWKV: Parallelizable RNN with Transformer-level LLM Performance.
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🌟(2023-05) RWKV: Reinventing RNNs for the Transformer Era arxiv
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(2023-03) Resurrecting Recurrent Neural Networks for Long Sequences arxiv
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(2023-02) SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks arxiv
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(2022-08) Simplified State Space Layers for Sequence Modeling ICLR2023
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🌟(2021-05) An Attention Free Transformer arxiv
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(2021-10) Efficiently Modeling Long Sequences with Structured State Spaces ICLR2022
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(2020-08) Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention ICML2020
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(2018) Parallelizing Linear Recurrent Neural Nets Over Sequence Length ICLR2018
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(2017-09) Simple Recurrent Units for Highly Parallelizable Recurrence EMNLP2017
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(2017-10) MinimalRNN: Toward More Interpretable and Trainable Recurrent Neural Networks Neurips2017
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(2017-06) Attention Is All You Need Neurips2017
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(2016-11) Quasi-Recurrent Neural Networks ICLR2017
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Introducing RWKV - An RNN with the advantages of a transformer Hugging Face
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有了Transformer框架后是不是RNN完全可以废弃了？知乎
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RNN最简单有效的形式是什么？知乎
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🌟RWKV的RNN CNN二象性 知乎
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RNN的隐藏层需要非线性吗？知乎
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Google新作试图“复活”RNN：RNN能否再次辉煌？ 苏剑林
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🌟How the RWKV language model works Johan Sokrates Wind
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🌟The RWKV language model: An RNN with the advantages of a transformer Johan Sokrates Wind
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The Unreasonable Effectiveness of Recurrent Neural Networks Andrej Karpathy blog