Language Models
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New dataset, metrics enable evaluation of bias in language models
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Language models, which encode the probabilities of particular sequences of words, have been much in the news lately for their almost uncanny ability to ...

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Using warped language models to correct speech recognition errors
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Language-related machine learning applications have made great strides in recent years, thanks in part to masked language models such as BERT: during ...

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Alexa AI team discusses NeurIPS workshop best paper award
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A team of Alexa AI researchers in December won the best paper award at the NeurIPS 2021 workshop on Efficient Natural Language and Speech Processing ...

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Amazon and MIT announce Science Hub gift project awards
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Amazon and MIT today named the four awardees from the inaugural call for research projects as part of the Science Hub.The Science Hub — which was launched ...

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A quick guide to Amazon’s 65-plus papers at this year’s ACL
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Between the main conference and the recently inaugurated ACL Proceedings, Amazon researchers have more than 65 papers at this year's meeting of the ...

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Compressing token-embedding matrices for language models
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Pretrained language models (PLMs) like BERT, RoBERTa, and DeBERTa, when fine-tuned on task-specific data, have demonstrated exceptional performance across a ...

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Adapting language model architectures for time series forecasting
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Time series forecasting is essential for decision making across industries such as retail, energy, finance, and health care. However, developing accurate ...

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