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Beyond Pairwise Attention: Higher-Order Modular Attention for Efficient Sequence Learning
Sequence modeling tasks can involve intrinsic higher-order dependencies, while standard self-attention assigns scores to token pairs and does not explicitly parameterize such interactions. We introduce Higher-Order Modular Attention (HOMA), which fuses pairwise attention with an explicit triadic att
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