LLM-based semantic encoding of tabular variables creates schema-adaptive embeddings that support zero-shot transfer and improve multimodal dementia diagnosis on NACC and ADNI datasets.
InInternational conference on artificial intelligence and statistics, pages 5549–5581
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Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning
LLM-based semantic encoding of tabular variables creates schema-adaptive embeddings that support zero-shot transfer and improve multimodal dementia diagnosis on NACC and ADNI datasets.