3 papers
cs.AI2026
Admission Without Answers: Label-Free Certification and Experience Learning for LLM-Based Optimization Modeling
Junbo Jacob Lian, Huiling Chen, Hanzhang Qin +1
Agents that learn from experience improve at optimization modeling by storing solved trajectories and reusing them as skills. A wrong trajectory that enters the library can be retr…
cs.SE2026
ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization
Junbo Jacob Lian, Yujun Sun, Huiling Chen +3
Large language models (LLMs) can translate natural-language problem descriptions into optimization code, but the code is prone to silent failures: it executes and returns a solver-…
cs.NE2025
OPAL: Operator-Programmed Algorithms for Landscape-Aware Black-Box Optimization
Junbo Jacob Lian, Mingyang Yu, Kaichen Ouyang +5
Black-box optimization often relies on evolutionary and swarm algorithms whose performance is highly problem dependent. We view an optimizer as a short program over a small vocabul…