activity
20112026
most citedNew Inference Rules for Max-SAT

158 citations · 161 across the 9 of their papers we have counts for

collaborators

9 papers

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.CR2025

ByteShield: Adversarially Robust End-to-End Malware Detection through Byte Masking

Daniel Gibert, Felip Manyà

Research has proven that end-to-end malware detectors are vulnerable to adversarial attacks. In response, the research community has proposed defenses based on randomized and (de)r…

cs.CR2025

DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection

Daniel Pulido-Cortázar, Daniel Gibert, Felip Manyà

Over the last decade, machine learning has been extensively applied to identify malicious Android applications. However, such approaches remain vulnerable against adversarial examp…

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.AI2022★ 3 cited

BandMaxSAT: A Local Search MaxSAT Solver with Multi-armed Bandit

Jiongzhi Zheng, Kun He, Jianrong Zhou +3

We address Partial MaxSAT (PMS) and Weighted PMS (WPMS), two practical generalizations of the MaxSAT problem, and propose a local search algorithm for these problems, called BandMa…

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…

cs.AI2011★ 158 cited

New Inference Rules for Max-SAT

C. M. Li, F. Manya, J. Planes

Exact Max-SAT solvers, compared with SAT solvers, apply little inference at each node of the proof tree. Commonly used SAT inference rules like unit propagation produce a simplifie…