OptArgus deploys a conductor-plus-specialist multi-agent architecture and a new four-category hallucination taxonomy to detect structural errors in LLM-generated optimization models more reliably than single-agent baselines on a three-part benchmark.
If the current model is a plausible literal reading and the concern is merely an alternative stricter interpretation, abstain instead of emitting a hallucination finding
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OptArgus: A Multi-Agent System to Detect Hallucinations in LLM-based Optimization Modeling
OptArgus deploys a conductor-plus-specialist multi-agent architecture and a new four-category hallucination taxonomy to detect structural errors in LLM-generated optimization models more reliably than single-agent baselines on a three-part benchmark.