arXiv Artificial Intelligence

SimuVerity: Benchmarking Agents for Engineering-Grade Simulink Model Generation

SimuVerity: Benchmarking Agents for Engineering-Grade Simulink Model Generation

Quick summary

arXiv:2610.02304v1 Announce Type: cross Abstract: Existing Simulink benchmarks mainly evaluate whether generated models compile, execute, or resemble a reference model. These criteria do not establish whether a model satisfies its engineering requirements. We introduce SimuVerity, a benchmark of 101 text-to-executable Simulink model-generation tasks across ten engineering domains. For each task, executable-system profiles ground the engineering specification and four families of native simulation scenarios. A hierarchical evaluator first checks artifact delivery, native executability, and engi

Key takeaways

  • arXiv:2610.02304v1 Announce Type: cross Abstract: Existing Simulink benchmarks mainly evaluate whether generated models compile, execute, or resemble a reference model.
  • These criteria do not establish whether a model satisfies its engineering requirements.
  • We introduce SimuVerity, a benchmark of 101 text-to-executable Simulink model-generation tasks across ten engineering domains.

Why it matters

“SimuVerity: Benchmarking Agents for Engineering-Grade Simulink Model Generation” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗