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The benefits of multimodal data integration are task-dependent and healthcare LLMs should examine clinical data modalities according to specific tasks for efficient integration, and provide practical guidance for designing efficient clinical decision support systems.
This study presents a comparative analysis of training small language models (SLMs) in specialized biomedical datato-text generation tasks and shows that the aligned SLMs outperform proprietary models like GPT-5; ORPO outperforms the SFTbaselines; and GRPO yields the most robust cross-dataset performance among the alig...
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