Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals 事件

Enhancing Layer Attention Efficiency through Pruning Redundant Retrievals arXiv:2503.06473v5 Announce Type: replace Abstract: Growing evidence suggests that layer attention mechanisms, which enhance interaction among layers in deep neural networks, have significantly advanced network architectures. However, existing layer attention methods suffer from redundancy, as attention weights learned by adjacent layers often become highly similar. This redundancy causes multiple layers to extract nearly