arxiv
PublishedJuly 14, 2026 at 4:00 AM
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Low-Rank Attention Residuals
Publisher summary· verbatim
arXiv:2607.09694v1 Announce Type: cross Abstract: Attention Residuals replace the fixed residual sum with depthwise attention over previous sub-layer outputs in large language models (LLMs), but use each output as both a full-dimensional key and value. This couples routing with representation and ma
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Originally published on arxiv ↗