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Paper · arXiv

Semantic Views: Certified Reuse of LLM Labels Across Semantic Queries

Semantic query engines evaluate natural-language filters with a large language model, and every evaluation is a costly oracle call. Optimizers that reduce these calls face a dilemma: cascades that trust a cheap proxy miss their precision and recall targets on many queries, methods with finite-sample guarantees save little, and all of them discard the oracle's labels when the query ends. We present SemViews, a certified semantic filter that orders tuples by signals that cost no oracle calls (the labels that earlier queries left behind as semantic views, a local embedding, and a helper model's score), refines that order with labels it must pay for anyway, and certifies its answer with fresh...

AuthorsOktie Hassanzadeh, Dharmashankar Subramanian
Primary categorycs.DB
Published8 October 2026
Last updated at source8 October 2026
cs.DBcs.AI
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