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Rahimeh Neamatian on Muck Rack

Rahimeh Neamatian

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Articles

Computer Science > Machine Learning

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By Shahin Gelareh, Lubin Cui, Rahimeh Neamatian
| arXiv
We introduce GenOR-Twin, a neuro-symbolic framework that bridges the translation gap between unstructured operational logs and rigorous mathematical optimization. Our architecture uniquely positions Large Language Models as semantic translators rather than direct solvers, ensuring that the system retains the feasibility guarantees of exact combinatorial methods.
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