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L-1 non-target offsets, and a
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Relative positional encodings not only enable extrapolation in transformers but also reveal a profound connection between implicit bias and sequence length generalization.
Learning-rate cooldown can either enhance or hinder training effectiveness, depending on the noise structure and optimizer normalization used.
