Results show that domain adaptation, task-aligned optimization, and evidence-guided verification can improve both coding accuracy and the auditability of model outputs.
Jian-Hua Qiu, Zhen Qin, Kai-Li Ma et al.· PeerJ Computer Science· 0 citations
Large language models (LLMs) can translate natural-language optimization problems into solver-ready formulations, but direct code generation is brittle: schema, indexing, and semantic errors can cause compilation failures, infeasible models, or incorrect objectives, while iterative repair, search, and multi-agent workf...
Penglin Zhu, Linhai Zhang, Jungang Xu et al.· 0 citations
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