Authors derive three principles for resilient LLM-assisted digital twin workflows: orthogonalize structure from parameters, restrict to library component interconnections, and use density-preserving Python IR to limit hallucination accumulation.
Creation, evalua- tion and self-validation of simulation models with large language models.Neurocomputing, 663:132030
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On Integrating Resilience and Human Oversight into LLM-Assisted Modeling Workflows for Digital Twins
Authors derive three principles for resilient LLM-assisted digital twin workflows: orthogonalize structure from parameters, restrict to library component interconnections, and use density-preserving Python IR to limit hallucination accumulation.