CRIL in short
Lens Computer Science Research Lab (CRIL UMR 8188) is a joint laboratory between Université d’Artois and CNRS, that has a strong research focus on Artificial Intelligence and its applications. It groups together about 70 members, including researchers, lecturers, PhD students, postdocs and administrative or technical staff.
The CRIL is a member of the Confederation of Laboratories for Artificial Intelligence Research in Europe CAIRNE of the regional humAIn alliance. It is funded by Ministère de l’Enseignement Supérieur et de la Recherche, CNRS, Université d’Artois and Hauts de France region.
CRIL is located in two different places in Lens: at the faculty of science and at the technical institute (IUT).
News (RSS)
Best paper award at UAI'25
The following paper received a best paper award at the 41st Conference on Uncertainty in Artificial Intelligence (UAI) in July 2025: Frédéric Koriche, Jean-Marie Lagniez, Chi Tran: Probabilistic Explanations for Regression Models PDF
One paper accepted at ECMLPKDD'25
The following paper will be presented at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) in the applied data science track: Text Mining from Migration Narratives David Ing, Fabien Delorme, Said Jabbour, Nelly Robin, Lakhdar Sais
Six papers accepted at KR'25
The following papers will be presented at the 22nd International Conference on Principles of Knowledge Representation and Reasoning (KR'25): Main track Reasoning with Restricted Statistical Statements in Probabilistic Answer Set Programming: Complexity and Algorithms Damiano Azzolini and Markus Hecher FastFound: Easing the ASP Bottleneck via Predicate-Decoupled Grounding Alexander Beiser, Martin Gebser, Markus Hecher and Stefan Woltran Counting Solutions under Cardinality Constraints: Structure Counts in Counting
Two papers accepted at ECAI'25
The following papers will be presented at the 28th European Conference on Artificial Intelligence (ECAI'25): Probabilistic Belief Update When Inputs are Uncertain: The Inverse Problem Perspective Karim Tabia Uncertainty in quantitative bipolar argumentation frameworks Jordan Thieyre, Caren Al Anaissy, Aurélie Beynier, Sébastien Destercke, Nicolas Maudet and Srdjan Vesic
Four papers accepted at JELIA'25
The following papers will be presented at the 19th edition of the European Conference on Logics in Artificial Intelligence (JELIA'25) : Enhancing Query Efficiency for d-DNNF Representations Through Preprocessing Jean Marie Lagniez and Emmanuel Lonca Closure-Based Tractable Possibilistic Inference from Partially Ordered DL-Lite Ontologies Ahmed Laouar et Salem Benferhat On Extracting Legal Arguments Noah Colnet, Yakoub Salhi, Souhila Kaci Lockean beliefs that are deductively closed and minimal change
Four papers accepted at SAT'25 or CP'25
The following papers will be presented at the 31st International Conference on Principles and Practice of Constraint Programming (CP'25): Reducing Quantum Circuit Synthesis to #SAT Alfons Laarman, Dekel Zak, Jean-Marie Lagniez, Jingyi Mei Practically Feasible Proof Logging for Pseudo-Boolean Optimization Andy Oertel, Daniel Le Berre, Jakob Nordström, Magnus O. Myreen, Marc Vinyals, Wietze Koops, Yong Kiam Tan Aircraft Resource-Constrained Assembly Line Balancing with Learning Effect: a Constraint Programming Approach
Two papers accepted at ACL'25
The following papers will be presented at the 63rd Annual Meeting of the Association for Computational Linguistics (ACL'25) in July/August 2025 taking place in Vienna: Modeling Complex Semantics Relations with Contrastively Fine-Tuned Relational Encoders Naïm Es-sebbani, Esteban Marquer, Zied Bouraoui There’s No Such Thing as Simple Reasoning for LLMs Nurul Fajrin Ariyani, Zied Bouraoui, Richard Booth, Steven Schockaert