Preprint
Aug 2026
Improving Constraint Models with LLM Agents
This work introduces an agentic framework that reformulates a constraint model from an open-ended space and establishes correctness empirically rather than by construction, and demonstrates that autonomous agentic methods can support the improvement of constraint models.
Florentina Voboril, Stefan Szeider
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