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Universal In-Context Approximation By Prompting Fully Recurrent Models

Universal In-Context Approximation By Prompting Fully Recurrent Models

3 June 2024
Aleksandar Petrov
Tom A. Lamb
Alasdair Paren
Philip H. S. Torr
Adel Bibi
    LRM
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Papers citing "Universal In-Context Approximation By Prompting Fully Recurrent Models"

3 / 3 papers shown
Title
Griffin: Mixing Gated Linear Recurrences with Local Attention for
  Efficient Language Models
Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Soham De
Samuel L. Smith
Anushan Fernando
Aleksandar Botev
George-Christian Muraru
...
David Budden
Yee Whye Teh
Razvan Pascanu
Nando de Freitas
Çağlar Gülçehre
Mamba
53
116
0
29 Feb 2024
Resurrecting Recurrent Neural Networks for Long Sequences
Resurrecting Recurrent Neural Networks for Long Sequences
Antonio Orvieto
Samuel L. Smith
Albert Gu
Anushan Fernando
Çağlar Gülçehre
Razvan Pascanu
Soham De
88
258
0
11 Mar 2023
Finding Alignments Between Interpretable Causal Variables and
  Distributed Neural Representations
Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations
Atticus Geiger
Zhengxuan Wu
Christopher Potts
Thomas F. Icard
Noah D. Goodman
CML
73
98
0
05 Mar 2023
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