Who Cited It

Cross-lingual Language Model Pretraining

2019 · arXiv (Cornell University) · 1,624 citations · 8 from inside this corpus

Guillaume Lample, Alexis Conneau

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Cross-lingual Language Model Pretraining (2019)Cross-lingual Language Model …Long Short-Term Memory (1997)Long Short-Term MemoryAdam: A Method for Stochastic Optimization (2014)Adam: A Method for Stochastic…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…Automatic differentiation in PyTorch (2017)Automatic differentiation in …Enriching Word Vectors with Subword Information (2017)Enriching Word Vectors with S…Attention Is All You Need (2025)Attention Is All You NeedRecursive Deep Models for Semantic Compositionality Over a Sentiment Treebank (2013)Recursive Deep Models for Sem…Backpropagation through time: what it does and how to do it (1990)Backpropagation through time:…Moses (2007)MosesGLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018)GLUE: A Multi-Task Benchmark …Exploiting Similarities among Languages for Machine Translation (2013)Exploiting Similarities among…HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanit… (2019)HISTORIAE, History of Socio-C…Transformers: State-of-the-Art Natural Language Processing (2020)Transformers: State-of-the-Ar…Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer (2019)Exploring the Limits of Trans…Language Models are Few-Shot Learners (2020)Language Models are Few-Shot …LXMERT: Learning Cross-Modality Encoder Representations from Transformers (2019)LXMERT: Learning Cross-Modali…BERTScore: Evaluating Text Generation with BERT (2019)BERTScore: Evaluating Text Ge…mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer (2021)mT5: A Massively Multilingual…Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…
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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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partial

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  • supports2 author record(s) attached.
  • supports35 reference(s) recorded.
  • weakensThe DOI names 1901 but the record dates this to 2,019. One of the two is about a different paper.
  • supportsA title is present.

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Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:56+00:00.

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