Neural Attention: A Novel Mechanism for Enhanced Expressive Power in Transformer Models

Andrew DiGiugno, Ausif Mahmood

Transformer models typically calculate attention matrices using dot products, which have limitations when capturing nonlinear relationships between embedding vectors. We propose Ne…