Michael Chung

RWKV: Reinventing RNNs for the Transformer Era

2023 · arXiv (Cornell University)

Transformers have revolutionized almost all natural language processing (NLP) tasks but suffer from memory and computational complexity that scales quadratically with sequence length. In contrast, recurrent neural networks (RNNs) exhibit linear scaling in memory and …