On the Convergence of Gradient Descent on Learning Transformers with Residual Connections
arXiv:2506.05249v4 Announce Type: replace
Abstract: Transformer models have emerged as fundamental tools across various scientific and engineering disciplines, owing to their outstanding performance in diverse applications. Despite this empirical succ…