Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces 事件

Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces arXiv:2605.02950v2 Announce Type: replace-cross Abstract: Transformer-based semantic encoders are effective for retrieval, but in many deployments the recurring bottleneck is online query encoding rather than offline corpus indexing. This paper studies whether, once a strong teacher representation space and corpus index are fixed, repeated neural query encoding can be replaced by a substantially lighter and ana