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Automated Reformulation of Robust Optimization via Memory-Augmented Large Language Models

AutoREM is a tuning-free memory-augmented framework that automates robust optimization reformulation via experience memory and improves accuracy across models.

Jinbiao Chen, Shuang Jin, Guoyun Zhang, Junyu Zhang and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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