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OptiSkill is a framework that builds a hierarchical and evolving SkillBank for LLM-based operations research modeling, improving formulation accuracy by storing and validating reusable skills across problems.
StarOR proposes a framework that synergizes Monte Carlo Tree Search with test-time reinforcement learning for automated optimization modeling, achieving state-of-the-art performance across multiple benchmarks.