Interdomain Attention integrates SSMs into attention via finite feature maps and basis projections to enable query-conditioned attention over fixed states, showing gains over SSM baselines and matching softmax at 1.3B scale with length-flat scaling.
Range” is the min–max over the prefix lengths that fit; “max-fit L
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Interdomain Attention: Beyond Token-Level Key-Value Memory
Interdomain Attention integrates SSMs into attention via finite feature maps and basis projections to enable query-conditioned attention over fixed states, showing gains over SSM baselines and matching softmax at 1.3B scale with length-flat scaling.