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SentEval: An Evaluation Toolkit for Universal Sentence Representations., и . LREC, European Language Resources Association (ELRA), (2018)Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning., , , и . (2020)cite arxiv:2011.01403.CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data., , , , , , и . LREC, стр. 4003-4012. European Language Resources Association, (2020)Multilingual Speech Translation from Efficient Finetuning of Pretrained Models., , , , , , , , и . ACL/IJCNLP (1), стр. 827-838. Association for Computational Linguistics, (2021)Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation., , и . CoRR, (2016)Unsupervised Cross-lingual Representation Learning at Scale., , , , , , , , , и . ACL, стр. 8440-8451. Association for Computational Linguistics, (2020)Large-Scale Self- and Semi-Supervised Learning for Speech Translation., , , , , и . Interspeech, стр. 2242-2246. ISCA, (2021)XTREME-S: Evaluating Cross-lingual Speech Representations., , , , , , , , , и 9 other автор(ы). INTERSPEECH, стр. 3248-3252. ISCA, (2022)Emerging Cross-lingual Structure in Pretrained Language Models., , , , и . CoRR, (2019)Scaling Speech Technology to 1, 000+ Languages., , , , , , , , , и 6 other автор(ы). J. Mach. Learn. Res., (2024)