ReSequel uses LLMs guided by metadata-derived templates and sampling-based verification to rewrite SQL queries, delivering up to 16x workload speedups over native DBMSs and 22x over prior LLM baselines across eight benchmarks and three systems.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
FlintKV delivers a durable linearizable skiplist key-value store with full production API support (atomic batches, snapshot iterators) and reports up to 75% higher end-to-end throughput than prior NVM stores.
citing papers explorer
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ReSequel: Robust LLM-assisted Query Rewriting and Optimization using Templatization and Sampling
ReSequel uses LLMs guided by metadata-derived templates and sampling-based verification to rewrite SQL queries, delivering up to 16x workload speedups over native DBMSs and 22x over prior LLM baselines across eight benchmarks and three systems.
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FlintKV: A Fast Durable Storage Engine for Modern Databases
FlintKV delivers a durable linearizable skiplist key-value store with full production API support (atomic batches, snapshot iterators) and reports up to 75% higher end-to-end throughput than prior NVM stores.