the open
    research
    Contribute
    Back to the reading lists

    Language, speech & LLMs· 2015

    Effective Approaches to Attention-based Neural Machine Translation

    Thang Luong (first author) · 2015

    Read the original

    arXiv 1508.04025OpenAlex W1902237438

    On the reading lists

    Why it matters

    Established global and local attention variants widely adopted in neural sequence models.

    Condensed from the expert lists' notes.

    The record

    First released
    2015 (from arXiv 1508.04025)
    Citations
    8,497 citations, as counted by Papers With Code (CC BY-SA 4.0)
    Awards
    ACL Test of Time
    Named by
    both expert lists
    Score
    0.515 · computed rank 223 · consensus 0.18, must-read 0, citations percentile 0.744 (2010s · language), awards 1, existing lists 0.5. 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.