25 citations · 35 across the 9 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.SE2026
Fix What's Wrong, Keep What's Right: Hallucination Repair for LLM-Based Optimization Modeling
Jiageng Wu, Chao Shen, Zihan Guo +5
Large language models (LLMs) are increasingly being explored to automate operations research modeling, reduce modeling time and lower the expertise barrier to optimization based de…
cs.AI2026
MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling
Zhong Li, Qi Huang, Yuxuan Zhu +6
Optimization modeling translates real decision-making problems into mathematical optimization models and solver-executable implementations. Although language models are increasingl…
cs.AI2026
OptArgus: A Multi-Agent System to Detect Hallucinations in LLM-based Optimization Modeling
Zhong Li, Zihan Guo, Xiaohan Lu +5
Large language models (LLMs) are increasingly used to translate natural-language optimization problems into mathematical formulations and solver code, but matching the reference ob…