3 papers
cs.AI2026
Democratizing Large-Scale Re-Optimization with LLM-Guided Model Patches
Tinghan Ye, Arnaud Deza, Ved Mohan +2
Optimization models developed by operations research (OR) experts are often deployed as decision-support systems in industrial settings. However, real-world environments are dynami…
cs.LG2025
DualSchool: How Reliable are LLMs for Optimization Education?
Michael Klamkin, Arnaud Deza, Sikai Cheng +2
Consider the following task taught in introductory optimization courses which addresses challenges articulated by the community at the intersection of (generative) AI and OR: gener…
math.OC2024
Machine Learning for Optimization-Based Separation of Mixed-Integer Rounding Cuts
Oscar Guaje, Arnaud Deza, Aleksandr M. Kazachkov +1
Mixed-integer rounding (MIR) cutting planes (cuts) are effective at improving the strength of a linear relaxation for mixed-integer linear programming (MIP) problems. The cuts in t…