Introduces LLM-friendly logical database design via three operators (+A, +P, +R) that yield up to 4.2% gains in execution accuracy on BIRD-Union and Spider-Union benchmarks.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.DB 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
OEH is a unified index that supports subsumption order-testing and index-resident monoid roll-up on poset hierarchies via nested-set embeddings for trees or chain decomposition for low-width DAGs.
citing papers explorer
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The Case for Text-to-SQL Friendly Logical Database Design
Introduces LLM-friendly logical database design via three operators (+A, +P, +R) that yield up to 4.2% gains in execution accuracy on BIRD-Union and Spider-Union benchmarks.
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One Index for Subsumption and Roll-up across Time, Geography, and Ontology
OEH is a unified index that supports subsumption order-testing and index-resident monoid roll-up on poset hierarchies via nested-set embeddings for trees or chain decomposition for low-width DAGs.