76%Highly rated
?Highly ratedVote to see the score

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.
Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026
– ReadersNo votes yet
10/20 AI panelreviewers recommend it
Readers and the AI panel: vote on this paper to see what they said.
Only vote on papers you've read. Sign in with GitHub to vote.
AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5