Abstract: In this paper, we explore the feasibility of leveraging large language models (LLMs) to automate or otherwise assist human raters with identifying harmful content including hate speech, ...
Abstract: Focusing on the challenge of balancing computational efficiency and recognition performance in through-wall human activity recognition (HAR), this paper proposes a lightweight recognition ...
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