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Z-Loss Backward Geometry in Dense Output Heads and Sparse Routers

Kim, Bum Jun
arXiv (OAI Expanded) · Papers
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computation-and-languagemachine-learning
Z-loss has been widely applied to the logits of language-model output heads and sparse mixture-of-experts routers. Z-loss constrains the softmax log-normalizers of these output heads and routers, thereby limiting large-logit excursions, reducing finite-precision roundoff exposure, and avoiding train
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