Learning to Model Optimization Problems from Solver Outcomes.

arXiv:2604.00442v2 Announce Type: replace Abstract: Automating optimization modeling with LLMs is a promising path toward scalable decision intelligence, but existing approaches either rely on agentic pipelines built on closed-source LLMs with high inference l