Large-scale language models show promising text generation capabilities, but users cannot easily control this generation process. We releaseCTRL, a 1.6 billion-parameter conditional transformer language model,
CTRL全称为Conditional Transformer Language有条件的文本生成模型,它始于Salesforce在2019年发布的论文《A Conditional Transformer Language Model for Controllable Generation》,该模型用于定向写作。论文地址如下:https://arxiv.org/pdf/1909.05858.pdf 这两年非常流行的BERT和GPT-2都基于Transformer模型,虽然代码量不大,逻...
而本篇所要提的模型CTRL(Conditional Transformer Language Model),对标GPT-2,可以更好的控制文章的内容,生成有价值的文本,且无需进一步训练就可以解决特定领域的具体问题。CTRL模型的最大优势是在生成文本时可指定文章的类型,同一模型可以写作不同风格的文章,可以指定文章的领域、风格、主题、时间、实体,实体间的关系...
CTRL全称为Conditional Transformer Language有条件的文本生成模型,它始于Salesforce在2019年发布的论文《A Conditional Transformer Language Model for Controllable Generation》,该模型用于定向写作。论文地址如下:https://arxiv.org/pdf/1909.05858.pdf 这两年非常流行的BERT和GPT-2都基于Transformer模型,虽然代码量不大,逻...
CTRL全称为Conditional Transformer Language有条件的文本生成模型,它始于Salesforce在2019年发布的论文《A Conditional Transformer Language Model for Controllable Generation》,该模型用于定向写作。论文地址如下:https://arxiv.org/pdf/1909.05858.pdf ...
CTRL全称为Conditional Transformer Language有条件的文本生成模型,它始于Salesforce在2019年发布的论文《A Conditional Transformer Language Model for Controllable Generation》,该模型用于定向写作。论文地址如下:https://arxiv.org/pdf/1909.05858.pdf 这两年非常流行的BERT和GPT-2都基于Transformer模型,虽然代码量不大,逻...
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CTRL is the abbreviation for Conditional Transformer Language Model incorporating a new feature called control codes to generalise the model for a very wide range of text-generation applications. Control codes govern the nature of generated text by various attributes such as style, content, task-speci...
Large-scale language models show promising text generation capabilities, but users cannot easily control this generation process. We releaseCTRL, a 1.6 billion-parameter conditional transformer language model, trained to condition on control codes that specify domain, subdomain, entities, relationships betw...