3 papers
cs.AI2026
Are We Asking the Right Questions? On Ambiguity in Natural Language Queries for Tabular Data Analysis
Daniel Gomm, Cornelius Wolff, Madelon Hulsebos
Natural language interfaces to tabular data must handle ambiguities inherent to queries. Instead of treating ambiguity as a deficiency, we reframe it as a feature of cooperative in…
cs.IR2025
SQaLe: A Large Text-to-SQL Corpus Grounded in Real Schemas
Cornelius Wolff, Daniel Gomm, Madelon Hulsebos
Advances in large language models have accelerated progress in text-to-SQL, methods for converting natural language queries into valid SQL queries. A key bottleneck for developing…
cs.LG2025
CoDy: Counterfactual Explainers for Dynamic Graphs
Zhan Qu, Daniel Gomm, Michael Färber
Temporal Graph Neural Networks (TGNNs) are widely used to model dynamic systems where relationships and features evolve over time. Although TGNNs demonstrate strong predictive capa…