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20172025
most citedEvaluating Large Language Models Trained on Code

1.5k citations · 2.3k across the 9 of their papers we have counts for

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Showing 2018Show all

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cs.CL2018

Language Modeling at Scale

Mostofa Patwary, Milind Chabbi, Heewoo Jun +3

We show how Zipf's Law can be used to scale up language modeling (LM) to take advantage of more training data and more GPUs. LM plays a key role in many important natural language…

cs.SD2018

Fast Spectrogram Inversion using Multi-head Convolutional Neural Networks

Sercan O. Arik, Heewoo Jun, Gregory Diamos

We propose the multi-head convolutional neural network (MCNN) architecture for waveform synthesis from spectrograms. Nonlinear interpolation in MCNN is employed with transposed con…