AINeutralarXiv – CS AI · 18h ago6/10
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Kernel Affine Hull Machines as Compute-Efficient Encoders for Frozen Semantic Spaces
Researchers propose Kernel Affine Hull Machines (KAHM) as a lightweight alternative to transformer-based neural encoders for semantic search in frozen representation spaces. The method achieves 8.53x faster query encoding while maintaining competitive retrieval performance, offering practical efficiency gains for production deployment scenarios.