MoSAR: Mixture of Semantic Attention Regimes for Learning Adaptive and Approximable Attention Geometries.

arXiv:2609.31261v1 Announce Type: cross Abstract: The quadratic complexity of dense self-attention remains a central bottleneck for long-context language modeling. Many efficient alternatives address this cost by deciding in advance where attention should be s