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News/A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets
arxiv
PublishedJuly 3, 2026 at 4:00 AM
▲bullish

A Hippocampus for Linear Attention: An Exact Memory for What the Recurrent State Forgets

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2607.02303v1 Announce Type: new Abstract: Linear-attention and state-space language models compress the prefix into a fixed-size recurrent state, yielding O(1) memory at the cost of a lossy exact memory: when many key--value associations compete, earlier facts are overwritten and needle recall

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Discussion
Mentioned models
03
  • 01
    HOLA
  • 02
    Transformer++
  • 03
    GDN
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arxiv
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Tags
04
#language models#attention mechanisms#memory efficiency#state-space models

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Mentioned models
03
  • 01
    HOLA
  • 02
    Transformer++
  • 03
    GDN
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
04
#language models#attention mechanisms#memory efficiency#state-space models

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arxivOptimal Hydra: Model Heterogeneous Federated Learning for LLMs using Data-Informed Hydra-Nets1darxivJudging the Judges: Confidence and Disagreement in Rubrics as Rewards1darxivContent associations with answer selection and engagement in supply chain community question answering1d
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