Machine Learning · Computer Science
Parity, Sensitivity, and Transformers
Alexander Kozachinskiy, Tomasz Steifer, Przemysław Wałȩga
2026-05-08
Computation and Language · Computer Science
Transformers Struggle to Learn to Search
Abulhair Saparov, Srushti Pawar, Shreyas Pimpalgaonkar, Nitish Joshi +5
2025-03-18
Computation and Language · Computer Science
Faith and Fate: Limits of Transformers on Compositionality
Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang Lorraine Li +12
2023-11-01
Computation and Language · Computer Science
Dissecting Multiplication in Transformers: Insights into LLMs
Luyu Qiu, Jianing Li, Chi Su, Chen Jason Zhang +1
2024-07-23
Computation and Language · Computer Science
Transformer Layers as Painters
Qi Sun, Marc Pickett, Aakash Kumar Nain, Llion Jones
2025-02-14
Computational Complexity · Computer Science
On the Computational Hardness of Transformers
Barna Saha, Yinzhan Xu, Christopher Ye, Hantao Yu
2026-03-13
Machine Learning · Computer Science
Transformers Provably Learn Algorithmic Solutions for Graph Connectivity, But Only with the Right Data
Qilin Ye, Deqing Fu, Robin Jia, Vatsal Sharan
2026-02-19
Machine Learning · Computer Science
Strassen Attention, Split VC Dimension and Compositionality in Transformers
Alexander Kozachinskiy, Felipe Urrutia, Hector Jimenez, Tomasz Steifer +5
2025-09-26
Computation and Language · Computer Science
An Efficient Transformer Decoder with Compressed Sub-layers
Yanyang Li, Ye Lin, Tong Xiao, Jingbo Zhu
2023-05-12
Machine Learning · Computer Science
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang, Kangwook Lee, Robert Nowak, Dimitris Papailiopoulos
2024-03-19
Machine Learning · Computer Science
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli, Chulhee Yun
2025-04-18