AI RESEARCH
MM-OptBench: A Solver-Grounded Benchmark for Multimodal Optimization Modeling
arXiv CS.AI
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ArXi:2605.12154v1 Announce Type: new Optimization modeling translates real decision-making problems into mathematical optimization models and solver-executable implementations. Although language models are increasingly used to generate optimization formulations and solver code, existing benchmarks are almost entirely text-only. This omits many optimization-modeling tasks that arise in operational practice, where requirements are described in text but instance information is conveyed through visual artifacts such as tables, graphs, maps, schedules, and dashboards. We.