Yuanzhang Xiao — accepted AI-conference papers

2026

Operator Theory-Driven Autoformulation of MDPs for Control of Queueing Systems

Victor Baillet, Yuanzhang Xiao, Nicolás Astorga, Mihaela van der Schaar

ICLR 2026poster

Autoformulation is an emerging field that uses large language models (LLMs) to translate natural-language descriptions of decision-making problems into formal mathematical formulations. Existing works have focused on autoformulating mathematical optimization problems for $\textit{one-shot}$ decision…

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2025

Autoformulation of Mathematical Optimization Models Using LLMs

Nicolás Astorga, Tennison Liu, Yuanzhang Xiao, Mihaela van der Schaar

ICML 2025poster

Mathematical optimization is fundamental to decision-making across diverse domains, from operations research to healthcare. Yet, translating real-world problems into optimization models remains a difficult task, often demanding specialized expertise. This paper approaches the problem of $\textit{aut…

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