AgentArmor is an extensible AI security benchmarking framework designed to evaluate Large Language Models (LLMs) against real-world adversarial attacks, safety risks ...
Background: The global nursing shortage, exacerbated by heavy workloads and high turnover rates associated with the COVID-19 pandemic, continues to undermine care quality and nurse well-being.
Abstract: Spatio-temporal data are continuously generated and grow exponentially with the rapid proliferation of mobile devices. Efficient storage and indexing of spatio-temporal Big Data are crucial ...
Abstract: The autoregressive world model exhibits robust generalization capabilities in vectorized scene understanding but encounters difficulties in deriving actions due to insufficient uncertainty ...
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