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Write What Matters: Disentangling Token Selection from Slot Allocation in Recurrent Memory

Chen, Chen et al.
arXiv (All) · Papers
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artificial-intelligencecomputation-and-languagecomputer-vision-and-pattern-recognition
Long-sequence models must retain earlier information. Full attention keeps all past tokens but grows expensive, and recurrent-memory models compress history into fixed slots for linear-time processing. Limited capacity makes writes consequential: distractors can interfere with useful content, while
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