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TRACE: Deployable Tree-Relational Structure Enhancement for Oncology LLMs
Large language models are increasingly used in oncology applications, but their predictions are often weakly grounded in explicit medical structure. We present TRACE, a deployable tree-relational enhancement framework for oncology LLMs. TRACE separates expensive offline structure learning from light
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