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Keyword: prompt tuning ×Clear all

2 claims from 1 paper

1. Computer Science › Domain Adaptation and Few-Shot Learning

   The Power of Scale for Parameter-Efficient Prompt Tuning

   Lester, Al‐Rfou and Constant · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2021

   Unchecked2 claims
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   1. Unchecked“Our end-to-end learned approach outperforms GPT-3's "few-shot" learning by a large margin.”
   2. Unchecked“More remarkably, through ablations on model size using T5, we show that prompt tuning becomes more competitive with scale: as models exceed billions of parameters, our method "closes the gap" and matches the strong performance of model tuning (where all mode…