Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts

Soft prompts have been recently proposed as a tool for adapting large frozen language models (LMs) to new tasks. In this work, we repurpose soft prompts to the task of injecting world knowledge into LMs. We introduce a method to train soft prompts via self-supervised learning on data from knowledge...

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Hauptverfasser: Santos, Cicero Nogueira dos, Dong, Zhe, Cer, Daniel, Nham, John, Shakeri, Siamak, Ni, Jianmo, Sung, Yun-hsuan
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Sprache:eng
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