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Grounding LLM candidate reranking in explicit ontology hierarchies closes a stubborn 5% accuracy gap in fine-grained biomedical concept normalization.
SeMoCo achieves unprecedented reconstruction accuracy by decoupling semantic meaning from kinematic details in motion representations.
The first comprehensive framework for understanding the security risks and defenses of mobile on-device AI systems reveals critical gaps that could jeopardize user privacy and data integrity.
