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1
XTREME-S: Evaluating Cross-lingual Speech Representations ...
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2
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
In: Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021) ; https://hal.archives-ouvertes.fr/hal-03466171 ; Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021), Aug 2021, Online, France. pp.96-120, ⟨10.18653/v1/2021.gem-1.10⟩ (2021)
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The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ...
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4
nmT5 -- Is parallel data still relevant for pre-training massively multilingual language models? ...
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mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer ...
NAACL 2021 2021; Al-Rfou, Rami; Barua, Aditya. - : Underline Science Inc., 2021
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nmT5 - Is parallel data still relevant for pre-training massively multilingual language models? ...
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TicketTalk: Toward human-level performance with end-to-end, transaction-based dialog systems ...
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8
Incorporating Bilingual Dictionaries for Low Resource Semi-Supervised Neural Machine Translation ...
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9
mT5: A massively multilingual pre-trained text-to-text transformer ...
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10
Towards Zero-Shot Multilingual Synthetic Question and Answer Generation for Cross-Lingual Reading Comprehension ...
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