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Average-Hard Attention Transformers are Constant-Depth Uniform Threshold
  Circuits

Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits

6 August 2023
Lena Strobl
ArXivPDFHTML

Papers citing "Average-Hard Attention Transformers are Constant-Depth Uniform Threshold Circuits"

3 / 3 papers shown
Title
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers
Lower Bounds for Chain-of-Thought Reasoning in Hard-Attention Transformers
Alireza Amiri
Xinting Huang
Mark Rofin
Michael Hahn
LRM
180
0
0
04 Feb 2025
Training Neural Networks as Recognizers of Formal Languages
Training Neural Networks as Recognizers of Formal Languages
Alexandra Butoi
Ghazal Khalighinejad
Anej Svete
Josef Valvoda
Ryan Cotterell
Brian DuSell
NAI
41
2
0
11 Nov 2024
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Logicbreaks: A Framework for Understanding Subversion of Rule-based Inference
Anton Xue
Avishree Khare
Rajeev Alur
Surbhi Goel
Eric Wong
58
2
0
21 Jun 2024
1