MiniOpt trains LLMs under 10B parameters via RL with OptReward to model and solve general optimization problems, reporting highest average solving accuracy among comparable models.
Or-r1: Automating mod- eling and solving of operations research optimization problem via test-time rein- forcement learning
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MiniOpt: Reasoning to Model and Solve General Optimization Problems with Limited Resources
MiniOpt trains LLMs under 10B parameters via RL with OptReward to model and solve general optimization problems, reporting highest average solving accuracy among comparable models.
- AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems