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    Language, speech & LLMs· 2019

    Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

    Zihang Dai (first author) · 2019

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    arXiv 1901.02860OpenAlex W2964110616

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    Why it matters

    Segment-level recurrence and relative positions extend Transformer context.

    Condensed from the expert lists' notes.

    The record

    First released
    2019 (from arXiv 1901.02860)
    Citations
    4,592 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Named by
    the grok list only
    Score
    0.318 · computed rank 562 · consensus 0.23, must-read 0, citations percentile 0.711 (2010s · 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.