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EvoOptiGraph is a framework for automating optimization modeling from natural language using graph-based evolutionary generation to create diverse training data and co-evolve the model with weakness-driven reinforcement learning, achieving state-of-the-art results on multiple benchmarks.
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.