Brick-DICL applies dynamic in-context learning with two RAG stages and multi-LLM filtering to automate mapping of BMS points to the 936-class Brick ontology, claiming accuracy gains and reduced manual verification.
Verification- guided context optimization for tool calling via hierarchical llms-as-editors.arXiv preprint arXiv:2512.13860, 2025
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Brick-DICL: Dynamic In-Context Learning for Automated Brick Schema Classification
Brick-DICL applies dynamic in-context learning with two RAG stages and multi-LLM filtering to automate mapping of BMS points to the 936-class Brick ontology, claiming accuracy gains and reduced manual verification.