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cs.IR2026
Learning Query Encoders Can Be Hard Even When Vector Retrieval Is Geometrically Easy
Anders Wikum, Nina Mishra, Amin Saberi +1
Efficient vector retrieval requires both a corpus geometry that supports retrieving the right documents through vector similarity, and a query encoder that can embed queries near t…
cs.IR2026
QASP: Query-Adaptive Robust Vector Search Policy
Hakan Ferhatosmanoglu, Kushal Kumar, Tal Wagner +1
A fundamental challenge of vector search is achieving consistently high recall while minimizing computational costs. Fixed search parameters cause significant performance variance…