3 papers
cs.DB2026
SemCEB: A Cardinality Estimation Benchmark for Semantic Operators
Andreas Zimmerer, Claudius Kühn, Yang Li +3
Modern data systems increasingly expose multi-modal large language models as semantic operators: SQL operators, including filters and joins, whose predicates are defined by a natur…
cs.DB2025
CoLSE: A Lightweight and Robust Hybrid Learned Model for Single-Table Cardinality Estimation using Joint CDF
Lankadinee Rathuwadu, Guanli Liu, Christopher Leckie +1
Cardinality estimation (CE), the task of predicting the result size of queries is a critical component of query optimization. Accurate estimates are essential for generating effici…
cs.DB2025
Benchmarking RL-Enhanced Spatial Indices Against Traditional, Advanced, and Learned Counterparts
Guanli Liu, Renata Borovica-Gajic, Hai Lan +1
Reinforcement learning has recently been used to enhance index structures, giving rise to reinforcement learning-enhanced spatial indices (RLESIs) that aim to improve query efficie…