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Search results with tag "Language understanding"

Improving Language Understanding by Generative Pre …

Improving Language Understanding by Generative Pre …

s3-us-west-2.amazonaws.com

Improving Language Understanding by Generative Pre-Training Alec Radford OpenAI alec@openai.com Karthik Narasimhan OpenAI karthikn@openai.com Tim Salimans OpenAI tim@openai.com Ilya Sutskever OpenAI ilyasu@openai.com Abstract Natural language understanding comprises a wide range of diverse tasks such

  Language, Understanding, Improving, Generative, Improving language understanding by generative, Language understanding

BERT: Pre-training of Deep Bidirectional Transformers for ...

BERT: Pre-training of Deep Bidirectional Transformers for ...

aclanthology.org

Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova Google AI Language fjacobdevlin,mingweichang,kentonl,kristoutg@google.com Abstract We introduce a new language representa-tion model called BERT, which stands for Bidirectional Encoder Representations from Transformers. Unlike recent language repre-

  Language, Understanding, Language understanding

arXiv:2112.15283v1 [cs.CV] 31 Dec 2021

arXiv:2112.15283v1 [cs.CV] 31 Dec 2021

arxiv.org

While most of VLP methods focus on pre-training for the vision-language understanding tasks, some works have noticed the importance of pre-training for improving the performance of cross-modal generation tasks, mainly image captioning task. Zhou et al. [7] propose the first unified model to improve the performance of both understanding and

  Language, Understanding, Improving, Language understanding

Improving Language Understanding by Generative Pre …

Improving Language Understanding by Generative Pre …

cdn.openai.com

discriminatively trained models to perform adequately. We demonstrate that large gains on these tasks can be realized by generative pre-training of a language model on a diverse corpus of unlabeled text, followed by discriminative fine-tuning on each specific task. In contrast to previous approaches, we make use of task-aware input

  Language, Model, Understanding, Language understanding

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