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Transformers as Transducers

Transformers as Transducers

Transactions of the Association for Computational Linguistics (TACL), 2024
2 April 2024
Lena Strobl
Dana Angluin
David Chiang
Jonathan Rawski
Ashish Sabharwal
ArXiv (abs)PDFHTML

Papers citing "Transformers as Transducers"

5 / 5 papers shown
The Transformer Cookbook
The Transformer Cookbook
Andy Yang
Christopher Watson
Anton Xue
S. Bhattamishra
Jose Llarena
William Merrill
Emile Dos Santos Ferreira
Anej Svete
David Chiang
141
0
0
01 Oct 2025
Is In-Context Learning Learning?
Is In-Context Learning Learning?
Adrian de Wynter
165
1
0
12 Sep 2025
The Counting Power of Transformers
The Counting Power of Transformers
Marco Sälzer
Chris Köcher
Anthony Widjaja Lin
Georg Zetzsche
Anthony Widjaja Lin
375
0
0
16 May 2025
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
A Little Depth Goes a Long Way: The Expressive Power of Log-Depth Transformers
William Merrill
Ashish Sabharwal
428
28
0
05 Mar 2025
Language Models Need Inductive Biases to Count Inductively
Language Models Need Inductive Biases to Count Inductively
Yingshan Chang
Yonatan Bisk
LRM
264
16
0
30 May 2024
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