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natural language to code

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papersTODAY 04:00 UTC

SAILOR: solver-assisted LLM method recovers missing numbers in optimization code

A new arXiv paper proposes SAILOR, an interactive approach in which a language model turns natural-language optimization problems into solver-ready code. Because such descriptions often omit or leave vague the numerical values a solver needs, the method draws on solver feedback to recover missing costs, capacities, demands, bounds and penalties. The work targets the gap between fluent problem descriptions and the complete, precise inputs that optimization software requires.

llm/optimization/code-generation/arxiv