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Philip H. S. Torr

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#artificial intelligence Preprint Apr 2026

AutoOR: Scalably Post-training LLMs to Autoformulate Operations Research Problems

This work presents AutoOR, a scalable synthetic data generation and reinforcement learning pipeline that trains LLMs to autoformulate optimization problems specified in natural language across linear, mixed-integer, and non-linear categories and introduces a curriculum RL strategy that bootstraps from limited initial t...

S. Motwani, Chuan Du, A. Petrov et al. · 2 citations

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