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Shifting from fixed-length tokens to semantic subwords can dramatically enhance the efficiency of attention mechanisms in generative recommenders.
Training LLMs with expert ICU reasoning leads to significant improvements in clinical decision-making across diverse medical tasks.
Sound features dominate delirium prediction in ICUs, revealing a clinically significant role for ambient sensing in enhancing patient outcomes.
Forget complex model architectures for cross-domain recommendation: Taesar shows that cleverly transforming your data can unlock better performance with standard models.
