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    Deep learning· 2021

    Prefix-Tuning: Optimizing Continuous Prompts for Generation

    Xiang Lisa Li (first author) · 2021

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    arXiv 2101.00190OpenAlex W3174770825

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    Why it matters

    Introduced learned continuous prefixes for adapting frozen generative language models.

    Condensed from the expert lists' notes.

    The record

    First released
    2021 (from arXiv 2101.00190)
    Citations
    6,520 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    both expert lists
    Score
    0.369 · computed rank 426 · consensus 0.21, must-read 0, citations percentile 0.875 (2020s · deep-learning), 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.