bayesian optimization 1natural language interfaces 1query optimization 1semantic query processing 1task DAG 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.DB2026
CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing
Jaehyun Ha, Yongjoo Park, Wook-Shin Han
CADENZA translates natural-language intents into task-specific operator DAGs, enabling a query optimizer to jointly tune quality, latency, and cost for semantic query processing.
cs.DB2026
CADENZA in Action: Breaking the Monolith with Intent-Dependent Plan Spaces for Semantic Queries
Jaehyun Ha, Yongjoo Park, Wook-Shin Han
Semantic query processing engines execute semantic operators, whose behavior is specified by natural-language intents, via model inference over multimodal data. Most existing optim…
cs.DB2025
PBE Meets LLM: When Few Examples Aren't Few-Shot Enough
Shuning Zhang, Yongjoo Park
Large language models (LLMs) can generate code from natural language descriptions. Their performance is typically evaluated using programming benchmarks that simulate real-world ta…