RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Stella Biderman; Huanqi Cao; Xin Cheng; Michael Chung; Leon Derczynski; Xingjian Du; Matteo Grella; et al. (EMNLP (Findings), 2023)

RWKV: Reinventing RNNs for the Transformer Era. - Bo Peng; Eric Alcaide; Quentin Anthony; Alon Albalak; Samuel Arcadinho; Huanqi Cao; Xin Cheng; Michael Chung; Matteo Grella; Kranthi Kiran G. V.; Xuzheng He; Haowen Hou; et al. (CoRR, 2023)

Implicit regularization in AI meets generalized hardness of approximation in optimization - Sharp results for diagonal linear networks. - Johan S. Wind; Vegard Antun; Anders C. Hansen (CoRR, 2023)

Minimal Convex Environmental Contours. - Åsmund Hausken Sande; Johan S. Wind (CoRR, 2023)

Asymmetric matrix sensing by gradient descent with small random initialization. - Johan S. Wind (CoRR, 2023)

RWKV-7 "Goose" with Expressive Dynamic State Evolution. - Bo Peng; Ruichong Zhang; Daniel Goldstein; Eric Alcaide; Xingjian Du; Haowen Hou; Jiaju Lin; Jiaxing Liu; Janna Lu; William Merrill; Guangyu Song; Kaifeng Tan; et al. (CoRR, 2025)