Abstract: The efficacy and reliability of segmentation models heavily rely on the activation functions employed within deep learning architectures. However, a persistent challenge lies in the ...

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Abstract: Leveraging sparsity is crucial for optimizing large language model (LLM) inference; however, modern LLMs employing SiLU as their activation function exhibit minimal activation sparsity.

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