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    Language, speech & LLMs· 2021

    The Power of Scale for Parameter-Efficient Prompt Tuning

    Brian Lester (first author) · 2021

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    DOI 10.18653/v1/2021.emnlp-main.243arXiv 2104.08691OpenAlex W3152956381

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    Why it matters

    Demonstrated effective soft prompt tuning that scales with model size.

    Condensed from the expert lists' notes.

    The record

    First released
    2021 (from arXiv 2104.08691)
    Citations
    6,181 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Also relevant to
    Deep learning
    Score
    0.294 · computed rank 620 · consensus 0.165, must-read 0, citations percentile 0.698 (2020s · language), awards 0, existing lists 0. Method

    Data sources

    Catalogue data from OpenAlex (CC0), Crossref (CC0 metadata; no abstracts are shown), arXiv, and Papers With Code (CC BY-SA 4.0). Each count names its source. See the method.