KCLA is a linear-complexity layer attention mechanism that exploits high key cosine similarity to preserve dynamic updates and long-range cross-layer connections.
From layers to states: A state space model perspective to deep neural network layer dynamics,
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Enhancing Layer Interaction Using Key-Correlated Layer Attention
KCLA is a linear-complexity layer attention mechanism that exploits high key cosine similarity to preserve dynamic updates and long-range cross-layer connections.