SAGE makes modeling strategy explicit during dataset construction and post-training with Segment-Weighted GRPO, raising average pass@1 from 72.7 to 80.3 while increasing formulation diversity and producing 14.2% more compact constraint systems.
</strategy> <modeling> Formulate the model following the design: Sets, Parameters, Variables, Objective, Constraints
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Strategy-Aware Optimization Modeling with Reasoning LLMs
SAGE makes modeling strategy explicit during dataset construction and post-training with Segment-Weighted GRPO, raising average pass@1 from 72.7 to 80.3 while increasing formulation diversity and producing 14.2% more compact constraint systems.