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On-Policy Attention Linearization (OPAL) is introduced in which the hybrid attention student samples its own long-context trajectories and receives dense supervision from the frozen full-attention teacher.
This work proposes Double-Duty, a logic block architecture that decouples LUTs and adder chains by augmenting four extra inputs of the logic element to bypass LUTs and directly drive the adders.
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