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Adelaide University
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Task-specific transformer architectures can dramatically boost learning efficiency but often at the cost of versatility, challenging the notion that one design fits all.
Residual connections, a staple of modern transformers, actively *harm* quantization robustness by driving activations away from Gaussianity.
