A Large-Language-Model-Oriented Dual-Channel Agent Framework for Intelligent Generation of Simulation Scenarios
Constructing simulation scenarios manually is time-consuming and often depends on platform-specific modeling experience. Existing large-language-model (LLM) methods are promising for interpreting operational documents, but they still struggle with long-document parsing, incomplete platform interfaces, auditable task ex...