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Semantic Attention(SMAT): Attention Gated Through Learned Similarity and Hidden State Centrality

Authors: Log, Any;

Semantic Attention(SMAT): Attention Gated Through Learned Similarity and Hidden State Centrality

Abstract

SMAT adds a learned semantic similarity matrix and a centrality-derived value gate to transformer attention. The gate is load-bearing, removing it collapses performance. Semantic information acts through gating, not direct attention biasing.

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