AIBullisharXiv – CS AI · Mar 47/103
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Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization Modeling
Researchers developed a type-aware retrieval-augmented generation (RAG) method that translates natural language requirements into solver-executable optimization code for industrial applications. The method uses a typed knowledge base and dependency closure to ensure code executability, successfully validated on battery production optimization and job scheduling tasks where conventional RAG approaches failed.