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arXiv · 2509.07867

CP-Model-Zoo: A Natural Language Query System for Constraint Programming Models

Augustin Crespin·Ioannis Kostis·Hélène Verhaeghe·Pierre Schaus
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Abstract

Constraint Programming and its high-level modeling languages have long been recognized for their potential to achieve the holy grail of problem-solving. However, the complexity of modeling languages, the large number of global constraints, and the art of creating good models have often hindered non-experts from choosing CP to solve their combinatorial problems. While generating an expert-level model from a natural-language description of a problem would be the dream, we are not yet there. We propose a tutoring system called CP-Model-Zoo, exploiting expert-written models accumulated through the years. CP-Model-Zoo retrieves the closest source code model from a database based on a user's natural language description of a combinatorial problem. It ensures that expert-validated models are presented to the user while eliminating the need for human data labeling. Our experiments show excellent accuracy in retrieving the correct model based on a user-input description of a problem simulated with different levels of expertise.

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Augustin Crespin, Ioannis Kostis, Hélène Verhaeghe, Pierre Schaus. 2025-09-09. CP-Model-Zoo: A Natural Language Query System for Constraint Programming Models. https://arxiv.org/abs/2509.07867

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