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Christian Bessiere

2 accepted papers

2024

Using Large Language Models to Improve Query-based Constraint Acquisition

IJCAI 2024poster

Most active constraint acquisition systems suffer from two weaknesses. They require the explicit generation of the set of potential constraints (the bias), whose size can be prohibitive for practical use of these systems, and the answers to queries contain little information. In this paper, we intr…

2023

Learning Constraint Networks over Unknown Constraint Languages

IJCAI 2023poster

Constraint acquisition is the task of learning a constraint network from examples of solutions and non-solutions. Existing constraint acquisition systems typically require advance knowledge of the target network's constraint language, which significantly narrows their scope of applicability. In this…

Cited by 6SourcePDFScholar