5 papers
The Nuts and Bolts of Natural Language to SQL Translation: A Systematic Analysis of Model Pipeline Optimisation Approaches and their Interactions
Filip Klubicka, Vasudevan Nedumpozhimana, Sneha Rautmare +3
In the age of large language models, Natural Language to SQL (NL2SQL) translation remains an open problem with many useful applications. We explore interactions between several NL2…
Adversarial Causal Tuning for Realistic Time-series Generation
Nikolaos Gkorgkolis, Nikolaos Kougioulis, MingXue Wang +4
We address the problem of generating simulated, yet realistic, time-series data from a causal model with the same observational and interventional distributions as a given real dat…
Large Causal Models for Temporal Causal Discovery
Nikolaos Kougioulis, Nikolaos Gkorgkolis, MingXue Wang +4
Causal discovery for both cross-sectional and temporal data has traditionally followed a dataset-specific paradigm, where a new model is fitted for each individual dataset. Such an…
RADICE: Causal Graph Based Root Cause Analysis for System Performance Diagnostic
Andrea Tonon, Meng Zhang, Bora Caglayan +4
Root cause analysis is one of the most crucial operations in software reliability regarding system performance diagnostic. It aims to identify the root causes of system performance…
BIS: NL2SQL Service Evaluation Benchmark for Business Intelligence Scenarios
Bora Caglayan, Mingxue Wang, John D. Kelleher +4
NL2SQL (Natural Language to Structured Query Language) transformation has seen wide adoption in Business Intelligence (BI) applications in recent years. However, existing NL2SQL be…