Researchers Introduce ‘RANKGEN’: A Deep Encoder Model (1.2B Parameters) Which Maps Prefixes And Generations From Any Pretrained English Language Model To A Shared Vector Space

Web: https://www.marktechpost.com/2022/06/18/researchers-introduce-rankgen-a-deep-encoder-model-1-2b-parameters-which-maps-prefixes-and-generations-from-any-pretrained-english-language-model-to-a-shared-vector-space/

Language models (LM) are widely used to assign probabilities to the text. Current language models frequently give a high probability to the output sequences that are repetitious, nonsensical, or unrelated to the prefix given as an input sequence, thus resulting in the model-generated text containing such artifacts. To solve this problem, google researchers have proposed […]

The post Researchers Introduce ‘RANKGEN’: A Deep Encoder Model (1.2B Parameters) Which Maps Prefixes And Generations From Any Pretrained English Language Model To A …

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