EnumGRPO is a self-improving optimizer for agentic query execution that reduces LLM-operator costs by ~317x while improving accuracy by 18% over a hybrid baseline across four databases.
Ilyas, and Lukasz Golab
3 Pith papers cite this work. Polarity classification is still indexing.
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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.
A new catalog classifying 35 data error types into missing, incorrect, and redundant categories for tabular data, with definitions and examples to improve data quality management.
citing papers explorer
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Cost-Aware Optimization for Agentic Query Execution
EnumGRPO is a self-improving optimizer for agentic query execution that reduces LLM-operator costs by ~317x while improving accuracy by 18% over a hybrid baseline across four databases.
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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.
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A Catalog of Data Errors
A new catalog classifying 35 data error types into missing, incorrect, and redundant categories for tabular data, with definitions and examples to improve data quality management.