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EELBERT: Tiny Models through Dynamic Embeddings
We introduce EELBERT, an approach for compression of transformer-based models (e. g., BERT), with minimal impact on the accuracy of downstream tasks.
Languages You Know Influence Those You Learn: Impact of Language Characteristics on Multi-Lingual Text-to-Text Transfer
For a given language, we are able to predict zero-shot performance, that increases on a logarithmic scale with the number of few-shot target language data points.
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