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Large language models prioritize semantic correctness but overlook formulation strength in automated MIP modeling, severely bottlenecking the efficiency of downstream solvers

While large language models (LLMs) have recently shown promise in automated MIP modeling from natural language, they prioritize semantic correctness but overlook formulation strength, severely bottlenecking the efficiency of downstream solvers
Neural and Evolutionary Computing28 Aug 2026

http://arxiv.org/abs/2608.23353v1