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cs.DB2025
SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer
Hanwen Liu, Qihan Zhang, Ryan Marcus +1
Query optimization is a crucial problem in database systems that has been studied for decades. Learned query optimizers (LQOs) can improve performance over time by incorporating fe…
cs.DB2025
Conformal Prediction for Verifiable Learned Query Optimization
Hanwen Liu, Shashank Giridhara, Ibrahim Sabek
Query optimization is critical in relational databases. Recently, numerous Learned Query Optimizers (LQOs) have been proposed, demonstrating superior performance over traditional h…