Historical milestone · 2017

    Attention Is All You Need

    Reviewed through September 18, 2026

    2017 · Historical milestone

    Attention Is All You Need

    Era
    2010s
    Theme
    Language models & representation
    Evidence form
    Architecture + translation benchmarks
    School / paradigm
    Attention / sequence modeling
    Institution / context
    Google Brain; Google Research; University of Toronto
    Researchers
    Ashish Vaswani; collaborators

    Understand

    Plain-language record, transferred from the reviewed source module.

    Theory or experimental setup. Replaced recurrence with stacked self-attention and feed-forward blocks in an encoder-decoder translation model.

    Result / historical claim. Enabled parallel sequence training and direct token-to-token interactions while improving tested translation benchmarks.

    Apply

    Professional implication, only where the reviewed record states one.

    The checked-in record does not state a separate professional application for this entry. The topic page places it in the wider research lineage: .

    Verify

    Evidence status, stated limitations, and the external sources this record actually carries.

    Evidence form. Architecture + translation benchmarks

    Limitation / debate. Standard attention has quadratic sequence cost and does not solve grounding, factuality, or data bias.

    Source status. This milestone row does not carry a primary-source URL in the approved export, and we do not have a verified link for it in our own research. We do not guess one.

    No primary-source URL is recorded for this entry in our reviewed data. Rather than manufacture a citation, we link the Implement Agentic research page that carries the record.

    Reproduce

    A reproduction tutorial is linked only when one exists for this exact record.

    A reproduction tutorial is not yet available for this entry. The closest reviewed material is .

    Cite or share

    APA-like: This historical record carries a year only, and no author or publisher of record in the checked-in data. An APA reference would have to invent that metadata.

    BibTeX: BibTeX requires an author and publication venue. Historical lineage entries store a narrative record and its source link, not structured authorship, so the field would be fabricated.

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