Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches

ArXi:2605.18692v2 Announce Type: replace Optimization models developed by operations research (OR) experts are often deployed as decision- systems in industrial settings. However, real-world environments are dynamic, with evolving business rules and unforeseen perturbations. In such contexts, end users should ideally re-optimize models to recover feasible and implementable solutions, often without access to the original model developers. This paper