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1
XTREME-S: Evaluating Cross-lingual Speech Representations ...
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2
mSLAM: Massively multilingual joint pre-training for speech and text ...
Bapna, Ankur; Cherry, Colin; Zhang, Yu. - : arXiv, 2022
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3
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation ...
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4
MergeDistill: Merging Pre-trained Language Models using Distillation ...
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5
Multilingual Document-Level Translation Enables Zero-Shot Transfer From Sentences to Documents ...
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6
Distilling Large Language Models into Tiny and Effective Students using pQRNN ...
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7
nmT5 -- Is parallel data still relevant for pre-training massively multilingual language models? ...
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8
DOCmT5: Document-Level Pretraining of Multilingual Language Models ...
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9
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints ...
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10
Explicit Alignment Objectives for Multilingual Bidirectional Encoders ...
NAACL 2021 2021; Firat, Orhan; Hu, Junjie. - : Underline Science Inc., 2021
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11
{M}erge{D}istill: {M}erging Language Models using Pre-trained Distillation ...
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12
Explicit Alignment Objectives for Multilingual Bidirectional Encoders ...
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13
Rethinking embedding coupling in pre-trained language models ...
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14
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization ...
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15
Evaluating the Cross-Lingual Effectiveness of Massively Multilingual Neural Machine Translation ...
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16
Small and Practical BERT Models for Sequence Labeling ...
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17
Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges ...
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18
Adaptive Scheduling for Multi-Task Learning ...
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19
Zero-Shot Cross-lingual Classification Using Multilingual Neural Machine Translation ...
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20
Google's Multilingual Neural Machine Translation System: Enabling Zero-Shot Translation ...
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