ACCORD rewrites combinatorial optimization solutions as step-by-step state updates that keep constraints visible, and this representation raises solution feasibility and lowers optimality gap versus list-of-list and prompting baselines.
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ACCORD: Autoregressive Constraint-satisfying Generation for COmbinatorial Optimization with Routing and Dynamic attention
ACCORD rewrites combinatorial optimization solutions as step-by-step state updates that keep constraints visible, and this representation raises solution feasibility and lowers optimality gap versus list-of-list and prompting baselines.