Amer Goel, Yeganeh Alimohammadi, Andrew Daw · 2026 · arXiv
DOI: 10.48550/arXiv.2610.26819 · open-access PDF
现实世界的决策问题结合了两种不同类型的限制:必须满足的要求,称为硬约束,以及可以被侵犯的偏好,称为软约束,因为这些问题经常被提出给自然语言的决策者,大型语言模型提供了一个自然的工具来协助他们的解决方案。
Machine translation (Meta M2M100); the English original follows.
Real-world decision problems combine two qualitatively different kinds of constraints: requirements that must be satisfied, called hard constraints, and preferences that can be violated, called soft constraints. Because these problems are often posed to decision-makers in natural language, large language models offer a natural tool for assisting with their solution. This has given rise to autoformulation, which focuses on using LLMs to translate natural-language descriptions of decision problems into executable mathematical optimization models. However, this research often neglects soft constr
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