2 papers
cs.DB2025
StorageXTuner: An LLM Agent-Driven Automatic Tuning Framework for Heterogeneous Storage Systems
Qi Lin, Zhenyu Zhang, Viraj Thakkar +3
Automatically configuring storage systems is hard: parameter spaces are large and conditions vary across workloads, deployments, and versions. Heuristic and ML tuners are often sys…
cs.DB2023
Observatory: Characterizing Embeddings of Relational Tables
Tianji Cong, Madelon Hulsebos, Zhenjie Sun +2
Language models and specialized table embedding models have recently demonstrated strong performance on many tasks over tabular data. Researchers and practitioners are keen to leve…