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Ask Before You Optimize: Dynamic Pre-Formulation Clarification for Interactive Optimization

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

Large language models (LLMs) are increasingly used to formulate optimization models from natural-language problem descriptions, yet realistic operations research (OR) requests are often incomplete: missing objectives, constraints, or business rules can change the resulting mathematical program. Existing evaluations largely assume a complete specification and therefore overlook whether an agent knows when clarification is needed before modeling. We introduce OR-Clarify, a benchmark for pre-formulation clarification. Each task presents a partial public problem description, withholds structured h

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