The paper introduces OptiMUS, a Large Language Model (LLM)-based agent designed to formulate and solve linear programming problems from their natural language descriptions. OptiMUS can develop mathematical models, write and…
Continue readingThis article explores the problem of dataset selection for training large-scale models. The authors argue that traditional methods, which filter data based on human notions of quality, often do not…
Continue readingThis research investigates the success of message-passing graph neural networks (MPNNs) in solving linear optimization problems. The authors demonstrate that MPNNs can mimic standard interior-point methods for these problems, which…
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