
Developing a unified signal propagation theory to address issues of vanishing/exploding gradients and rank collapse in deep transformers, enabling training of very deep models with improved performance.


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transformers-stability-signal-propagation-theory-for-language-models


Transformers Stability: Signal Propagation Theory for Language Models


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Transformer models can be trained deeper and more effectively by utilizing a unified signal propagation theory to address issues like vanishing/exploding gradients and rank collapse.


transformers-get-stable-an-end-to-end-signal-propagation-theory-for-language-models


Transformers Get Stable: An End-to-End Signal Propagation Theory for Language Models
