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A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions

A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions

International Joint Conference on Artificial Intelligence (IJCAI), 2021
12 August 2025
Ziyang Xiao
Jingrong Xie
Lilin Xu
Shisi Guan
J. Zhu
Xiongwei Han
Xiaojin Fu
WingYin Yu
Han Wu
Wei Shi
Qingcan Kang
Jiahui Duan
Tao Zhong
Mingxuan Yuan
Jia Zeng
Yuan Wang
Gang Chen
Dongxiang Zhang
    OffRL
ArXiv (abs)PDFHTML

Papers citing "A Survey of Optimization Modeling Meets LLMs: Progress and Future Directions"

4 / 4 papers shown
Title
REG: A Regularization Optimizer for Robust Training Dynamics
REG: A Regularization Optimizer for Robust Training Dynamics
Zehua Liu
Han Wu
Xiaojin Fu
Shuqi Liu
Xiongwei Han
Tao Zhong
Mingxuan Yuan
8
0
0
04 Oct 2025
OptiMind: Teaching LLMs to Think Like Optimization Experts
OptiMind: Teaching LLMs to Think Like Optimization Experts
Zeyi Chen
Xinzhi Zhang
Humishka Zope
Hugo Barbalho
Konstantina Mellou
Marco Molinaro
Janardhan Kulkarni
Ishai Menache
Sirui Li
LRM
2
0
0
26 Sep 2025
StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models
StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models
Chenyu Zhou
Tianyi Xu
Jianghao Lin
Dongdong Ge
LRM
36
1
0
26 Sep 2025
Large Language Models and Operations Research: A Structured Survey
Large Language Models and Operations Research: A Structured Survey
Yang Wang
Kai Li
OffRLAI4CE
36
0
0
18 Sep 2025
1