Author

Junbo Jacob Lian

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#artificial intelligence Review Feb 2026

ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization

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-feasible solution while encoding a semantically incorrect formulation. On compositional problems, the resulting feasibility-correctness gap...

Junbo Jacob Lian, Yu-Jun Sun, Hui-Ling Chen et al. · arXiv.org · 9 citations · ⚡2

#artificial intelligence Preprint Aug 2026

Admission Without Answers: Label-Free Certification and Experience Learning for LLM-Based Optimization Modeling

To the authors' knowledge, AdmitOR is the first label-free admission mechanism designed around an explicitly calibrated false-discovery target, and the transfer failure identifies a necessary condition for extending it to wild streams.

Junbo Jacob Lian, Hui-Ling Chen, Hanzhang Qin et al. · 0 citations