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Guangyu Song

RWKV and efficient sequence modeling

Researcher working on the RWKV project and later sequence-model iterations

Worth tracking because he is one of the contributors who stays with the RWKV line from the original paper through Eagle/Finch, GoldFinch, and into RWKV-7, which is exactly the kind of repeated authorship signal that makes these long-tail pages valuable.

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Tano Labs

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01

Repeated contributions across the RWKV family

02

GoldFinch and the RWKV hybrid branch

03

Open sequence-model development beyond the first RWKV release

04

Practical work on recurrent alternatives to Transformers

05

RWKV and efficient sequence modeling

06

RWKV: Reinventing RNNs for the Transformer Era

Start Here

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Shared canonical source

Eric Alcaide

RWKV and efficient sequence modeling

5 sources

A distinctive page because his work bridges open-sequence-model experimentation with applied machine learning for molecules, proteins, and structural biology, and he shows up on multiple RWKV-family papers including the hybrid GoldFinch branch rather than only the first release.

Start HereEric Alcaide