3 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
Compositional Online Learning for Semantic Data Processing Systems
Paweł Liskowski, Fuheng Zhao, Benjamin Han +2
An LLM call in a semantic data processing system is expensive enough to dominate query cost, yet slow enough to hide a CPU-side learner's update behind its round-trip. In productio…
Larch: Learned Query Optimization for Semantic Predicates
Fuheng Zhao, Pawel Liskowski, Zihan Li +5
With the advent of Large Language Models (LLMs), many database systems introduced semantic operators that enabled analytical queries over unstructured data (e.g. text, images, vide…
AvalancheBench: Evaluating Enterprise Data Agents Through Latent World Recovery
Darek Kleczek, Fuheng Zhao, Alexander W. Lee +4
We introduce AvalancheBench, a benchmark for evaluating enterprise data agents through \emph{latent world recovery}. AvalancheBench improves on existing benchmarks in three ways. F…
Evergreen: Efficient Claim Verification for Semantic Aggregates
Alexander W. Lee, Benjamin Han, Shayak Sen +3
With recent semantic query processing engines, semantic aggregation has become a primitive operator, enabling the reduction of a relation into a natural language aggregate using an…
Cortex AISQL: A Production SQL Engine for Unstructured Data
Paweł Liskowski, Benjamin Han, Paritosh Aggarwal +11
Snowflake's Cortex AISQL is a production SQL engine that integrates native semantic operations directly into SQL. This integration allows users to write declarative queries that co…