4 papers
Machine Learning for Quantifier Selection in cvc5
Jan Jakubův, Mikoláš Janota, Jelle Piepenbrock +1
In this work we considerably improve the state-of-the-art SMT solving on first-order quantified problems by efficient machine learning guidance of quantifier selection. Quantifiers…
Quantifier Instantiations: To Mimic or To Revolt?
Jan Jakubův, Mikoláš Janota
Quantified formulas pose a significant challenge for Satisfiability Modulo Theories (SMT) solvers due to their inherent undecidability. Existing instantiation techniques, such as e…
Automated Strategy Invention for Confluence of Term Rewrite Systems
Liao Zhang, Fabian Mitterwallner, Jan Jakubuv +1
Term rewriting plays a crucial role in software verification and compiler optimization. With dozens of highly parameterizable techniques developed to prove various system propertie…
First Experiments with Neural cvc5
Jelle Piepenbrock, Mikoláš Janota, Jan Jakubův
he cvc5 solver is today one of the strongest systems for solving first order problems with theories but also without them. In this work we equip its enumeration-based instantiation…