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A learned selector is usually a lightweight network (such as a small MLP or low-rank projection) that takes the current query vector and the key vectors of candidate tokens, quickly scores them, and selects the Top-k most relevant tokens to participate in the actual attention computation.
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Long-term
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10/12/2026
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