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Found 3 papers, 2 papers with code
Scaling Speech Technology to 1,000+ Languages
Expanding the language coverage of speech technology has the potential to improve access to information for many more people.
InPars-Light: Cost-Effective Unsupervised Training of Efficient Rankers
Unlike InPars, InPars-light uses 7x-100x smaller ranking models and only a freely available language model BLOOM, which -- as we found out -- produced more accurate rankers compared to a proprietary GPT-3 model.
Exploring Hate Speech Detection with HateXplain and BERT
We tune BERT to perform this task in the form of rationales and class prediction, and compare our performance on different metrics spanning across accuracy, explainability and bias.
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