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ORGEval: Graph-Theoretic Evaluation of LLMs in Optimization Modeling

arXiv — cs.LG•Monday, November 3, 2025 at 5:00:00 AM
PositiveArtificial Intelligence
The introduction of ORGEval marks a significant advancement in the evaluation of Large Language Models (LLMs) for optimization modeling. This new approach aims to streamline the formulation of optimization problems, which traditionally requires extensive manual effort and expertise. By leveraging graph-theoretic principles, ORGEval seeks to provide a more reliable and efficient metric for assessing LLM performance, addressing common challenges like inconsistency and high computational costs. This development is crucial as it could enhance the automation of optimization processes across various industries, making them more accessible and effective.
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