2026
Constraining Generative Models: A Survey from the Constraint Programming Perspective
IJCAI 2026
Generative models produce long and high probability sequences, yet they often fail to satisfy explicit constraints set by users. Over the past two decades, Constraint Programming (CP) has provided a complementary paradigm: combining generative models with a constraint solver to guarantee feasibility