The paper Draft-and-Audit Reinforcement Learning for Optimization Modeling was accepted as a regular paper at ICML 2026 on April 30, 2026.

Paper focus: reinforcement learning for natural-language-to-optimization modeling, with a two-turn draft-and-audit workflow that reduces silent modeling failures.