Co-evolving LLM-generated solutions with their evaluators enables discovery of novel database algorithms that outperform state-of-the-art baselines, including a query rewrite policy with up to 6.8x lower latency.
Hellerstein, Sanjay Krishnan, and Ion Stoica
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.DB 2years
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An LSH-based system with adaptive bucket probing, progressive sampling, and product quantization estimates cardinality for high-dimensional similarity queries efficiently.
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AI-Driven Research for Databases
Co-evolving LLM-generated solutions with their evaluators enables discovery of novel database algorithms that outperform state-of-the-art baselines, including a query rewrite policy with up to 6.8x lower latency.
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Cardinality Estimation for High Dimensional Similarity Queries with Adaptive Bucket Probing
An LSH-based system with adaptive bucket probing, progressive sampling, and product quantization estimates cardinality for high-dimensional similarity queries efficiently.