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Representative studies identify blood pressure as a convergence node linking adiposity, hepatic, and lipid phenotypes to vascular outcomes, and show that an adiposity-inflammation-blood-pressure pathway is largely attenuated by joint adjustment for body mass index (BMI) and smoking.
Experiments on the SLAKE and MIMIC-CXR datasets demonstrate that CAST consistently outperforms strong baselines and surpasses decoding strategies reliant on ground truth, and indicates that compact, automatically selected regions provide highly effective contrastive guidance without expert annotations.
This work investigates two representative model families, LLaVA-1.5 and Qwen2.5, and provides a token-, layer-, and head-level account of how VLMs transform object grounding into spatial relations, showing that knowing where objects are is not equivalent to knowing how they relate.
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