3 papers
cs.DB2026
FINER-SQL: Boosting Small Language Models for Text-to-SQL
Thanh Dat Hoang, Thanh Trung Huynh, Matthias Weidlich +4
Large language models have driven major advances in Text-to-SQL generation. However, they suffer from high computational cost, long latency, and data privacy concerns, which make t…
cs.DB2025
SHARP: Shared State Reduction for Efficient Matching of Sequential Patterns
Cong Yu, Tuo Shi, Matthias Weidlich +1
The detection of sequential patterns in data is a basic functionality of modern data processing systems for complex event processing (CEP), OLAP, and retrieval-augmented generation…
cs.DB2025
The Past Still Matters: A Temporally-Valid Data Discovery System
Mahdi Esmailoghli, Matthias Weidlich
Over the past decade, the proliferation of public and enterprise data lakes has fueled intensive research into data discovery, aiming to identify the most relevant data from vast a…