We study few-shot Natural Language Understanding (NLU) tasks with Large
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We investigate how to enhance answer precision in frequently asked quest...
Supersized pre-trained language models have pushed the accuracy of vario...
In the era of deep learning, modeling for most NLP tasks has converged t...
Transformers have achieved great success in many artificial intelligence...
As a simple technique to accelerate inference of large-scale pre-trained...
Traditional low bit-rate speech coding approach only handles narrowband
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In modern data science problems, techniques for extracting value from bi...