Why are Sensitive Functions Hard for Transformers?

15 February 2024

Papers citing "Why are Sensitive Functions Hard for Transformers?"

7 / 7 papers shown

Title
How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias Ruiquan Huang Yingbin Liang Jing Yang 46 0 0 02 May 2025
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 Alexandra Butoi Ghazal Khalighinejad Anej Svete Josef Valvoda Ryan Cotterell Brian DuSell NAI 38 2 0 11 Nov 2024
From Sparse Dependence to Sparse Attention: Unveiling How Chain-of-Thought Enhances Transformer Sample Efficiency Kaiyue Wen Huaqing Zhang Hongzhou Lin Jingzhao Zhang MoE LRM 61 2 0 07 Oct 2024
On the Design and Analysis of LLM-Based Algorithms Yanxi Chen Yaliang Li Bolin Ding Jingren Zhou 45 5 0 20 Jul 2024
A Logic for Expressing Log-Precision Transformers William Merrill Ashish Sabharwal ReLM NAI LRM 48 47 0 06 Oct 2022
Sensitivity as a Complexity Measure for Sequence Classification Tasks Michael Hahn Dan Jurafsky Richard Futrell 150 22 0 21 Apr 2021