3 papers
cs.AI2026
Using LLMs for Explainable, Data-Driven Insight Generation from Time Series
Ria Mundhra, Gustavo Sato dos Santos, Michael Benedikt
Time series forecasts are widely used in decision-critical domains, where they are rarely consumed without accompanying explanations. Producing such explanations is usually a manua…
cs.LO2026
The complexity of Presburger arithmetic with power or powers
Michael Benedikt, Dmitry Chistikov, Alessio Mansutti
We investigate expansions of Presburger arithmetic, i.e., the theory of the integers with addition and order, with additional structure related to exponentiation: either a function…
cs.LO2026
Tighter Bounds for Query Answering with Guarded TGDs
Antoine Amarilli, Michael Benedikt
We consider the complexity of the open-world query answering problem, where we wish to determine certain answers to conjunctive queries over incomplete datasets specified by an ini…