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A head-to-head benchmark comparison of AWD-LSTM-MoS+PDR + dynamic evaluation (WT2) across 0 evaluations.
Highly regularized LSTMs achieve impressive results on several benchmark datasets in language modeling. We propose a new regularization method based on decoding.
Full AWD-LSTM-MoS+PDR + dynamic evaluation (WT2) specs →No shared benchmark scores found for these models yet.
This comparison covers 0 benchmarks on which at least one of the selected models has a published score.
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