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20182026
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cs.AI2026

MaxSAT-Based Feedback for Guiding Vision-Language Models in Sudoku

Pedro Orvalho, Guillem Alenyà, Felip Manyà

Vision--Language Models (VLMs) have recently demonstrated promising performance on structured visual reasoning tasks, including grid-based puzzles. However, despite strong perceptu…

cs.AI2026

Reliable Reasoning with Large Language Models via Preference-Based Maximum Satisfiability

Pedro Orvalho, Marta Kwiatkowska, Guillem Alenyà +1

Large Language Models (LLMs) excel at understanding natural language but struggle with optimisation tasks involving multiple constraints and user-defined preferences, which commonl…

cs.AI2022

Incorporating Multi-armed Bandit with Local Search for MaxSAT

Jiongzhi Zheng, Kun He, Jianrong Zhou +3

Partial MaxSAT (PMS) and Weighted PMS (WPMS) are two practical generalizations of the MaxSAT problem. In this paper, we propose a local search algorithm for these problems, called…

cs.AI2021

Incomplete MaxSAT Approaches for Combinatorial Testing

Carlos Ansótegui, Felip Manyà, Jesus Ojeda +2

We present a Satisfiability (SAT)-based approach for building Mixed Covering Arrays with Constraints of minimum length, referred to as the Covering Array Number problem. This probl…

cs.AI2018

Clause Vivification by Unit Propagation in CDCL SAT Solvers

Chu-Min Li, Fan Xiao, Mao Luo +3

Original and learnt clauses in Conflict-Driven Clause Learning (CDCL) SAT solvers often contain redundant literals. This may have a negative impact on performance because redundant…