most citedSolving QBF with Counterexample Guided Refinement

150 citations · 210 across the 3 of their papers we have counts for

collaborators

18 papers

cs.LO2026150 cited

Solving QBF with Counterexample Guided Refinement

Mikoláš Janota, William Klieber, Joao Marques-Silva +1

We propose two novel approaches for using Counterexample-Guided Abstraction Refinement (CEGAR) in Quantified Boolean Formula (QBF) solvers. The first approach develops a recursive…

cs.LO202660 cited

Solving QBF by Clause Selection

Mikoláš Janota, Joao Marques-Silva

Algorithms based on the enumeration of implicit hitting sets find a growing number of applications, which include maximum satisfiability and model based diagnosis, among others. Th…

cs.LO2026

Revisiting Incremental Linearization for Nonlinear Integer Arithmetic

Marek Dančo, Karel Chvalovský, Mikoláš Janota

Incremental Linearization has previously been proposed for solving SMT problems over quantifier-free nonlinear integer arithmetic and has proven effective despite its conceptual si…

cs.LO2026

LLM2SMT: Building an SMT Solver with Zero Human-Written Code

Mikoláš Janota, Mirek Olšák

Whether LLMs can reason or write software is widely debated, but whether they can write software that itself reasons is largely unexplored. We present a case study in which an LLM…

cs.LG2026

Geometric Reasoning in the Embedding Space

Jan Hůla, David Mojžíšek, Jiří Janeček +2

In this contribution, we demonstrate that Graph Neural Networks and Transformers can learn to reason about geometric constraints. We train them to predict spatial position of point…

cs.LO2026

Reintroducing the Second Player in EPR

Leroy Chew, Mikoláš Janota, Miroslav Olšák +1

In this work we investigate the computational complexity of the satisfiability problem of sub-fragments of the Bernays-Schoenfinkel class of first-order logic, also known as EPR (E…