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Johan S. Wind

RWKV and efficient sequence modeling

Researcher at the University of Oslo contributing to the RWKV sequence-model line

Worth surfacing because he shows up on both the original RWKV paper and RWKV-7, which makes him one of the contributors who spans the early release and the later Goose architecture rather than disappearing after launch.

Organizations

University of Oslo

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Known For

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01

Original RWKV authorship

02

RWKV-7 "Goose"

03

Open recurrent language-model work

04

RWKV and efficient sequence modeling

05

RWKV: Reinventing RNNs for the Transformer Era

06

RWKV (project)

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Supporting Sources

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Related Researchers

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Shared canonical source

Jiaju Lin

RWKV and efficient sequence modeling

4 sources

A good RWKV page because he appears on the original paper, Eagle/Finch, and RWKV-7, which gives the profile real continuity instead of a one-off coauthor credit before he moved into a broader PhD research program.

Start HereJiaju Lin

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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

Shared canonical source

Alon Albalak

RWKV and efficient sequence modeling

5 sources

A strong open-model and data-centric page because his work sits close to the infrastructure that made OLMo and Dolma useful to the broader research community rather than just another benchmark-driven model release.

Start HereAlon Albalak