arxiv
PublishedOctober 13, 2026 at 4:00 AM
Multi-Stream Attention Residuals
Publisher summary· verbatim
arXiv:2610.13630v1 Announce Type: new Abstract: Attention Residuals (AttnRes) enables content-dependent retrieval over network depth, which can be viewed as single-stream softmax attention along the depth axis. Inspired by the success of multi-head attention along the sequence axis, we introduce Mul
Stay posted· Newsletter
Three short emails a week: Monday, Wednesday and Friday. Top movers, new models and the most-referenced story.
Your email is used only to send The Bubble Brief. Privacy policy
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivL2G-SR: Learning to Guide LLM-based Symbolic Regression7harxivWhen Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence7harxivARIA: Runtime Inspection and Amendment for Multi-Agent Systems7harxivKolab: Benchmarking Human-Agent Collaboration in Long-Horizon Workflows7hThe Bubble Brief
MON · WED · FRIRead AI insights every Monday, Wednesday and Friday — top movers, new models, story of the week.
Your email is used only to send The Bubble Brief. Privacy policy
Originally published on arxiv ↗