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FreeSolo: Linear-time Sparse Attention with Zero-Shot Length Extrapolation
Linear-time sequence models typically store long-context information in a recurrent state. A fixed-size state limits how much information can be stored, while hybrid architectures that add full attention for better recall incur quadratic sequence cost. Alternatively, sparse attention with continued
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