arXiv cs.NE
· Papers
Attentions Under the Microscope: A Comparative Study of Resource Utilization for Variants of Self-Attention
arXiv:2507.07247v2 Announce Type: replace-cross Abstract: As large language models (LLMs) and visual language models (VLMs) grow in scale and application, attention mechanisms have become a central computational bottleneck due to their high memory and time complexity. While many efficient attention variants have been p