Generating Robust Portfolios of Optimization Models using Large Language Models 事件

Generating Robust Portfolios of Optimization Models using Large Language Models arXiv:2605.27013v1 Announce Type: new Abstract: Mathematical optimization is a powerful tool for structured decision-making across domains such as resource allocation and planning. Formulating optimization models faithful to reality, though, remains a significant bottleneck as it typically demands both domain expertise and optimization knowledge that are often scarce. Recent advances in large language models (LLMs)