Academic paper presenting a method for using LLMs to reason over tabular clinical data with schema-adaptive representation learning. Addresses the challenge of generalizing clinical reasoning systems across different data schemas and modalities, relevant to healthcare AI interoperability.
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Schema-Adaptive Tabular Representation Learning with LLMs for Generalizable Multimodal Clinical Reasoning
LLMs with schema-adaptive representation learning can generalize clinical reasoning across heterogeneous hospital data formats, addressing a major interoperability barrier in healthcare AI.
Wednesday, April 15, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.LG (Machine Learning)BY sys://pipeline
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