Abstract Transformers

Abstract Transformers is an abstract interpretation framework that generalizes transformer models by formalizing their computation as abstract domains and transformers over symbolic representations, enabling sound approximation of attention mechanisms in program analysis.

21

Publications

1.3K

Citations

37

Authors

26

Institutions

Publications per year

2017–2026

8

Authors

37

  1. JM
    Jan Midtgaard

    Aarhus University, Denmark

    3 publications · 120 citations

    3

    h-index

  2. MS
    Mads Sig Ager

    Aarhus University, Denmark

    3 publications · 120 citations

    3

    h-index

  3. DM
    David Monniaux

    Verimag, France

    3 publications · 107 citations

    3

    h-index

  4. OD
    Olivier Danvy

    Aarhus University, Denmark

    3 publications · 120 citations

    3

    h-index

  5. MV
    Martin Vechev

    ETH Zurich, Switzerland

    3 publications · 642 citations

    3

    h-index

1–5 of 37

Venues

  1. Proceedings of the ACM on Programming Languages

    PACMPL · 4 publications · 658 citations

    4

    h-index

  2. BRICS Report Series

    2 publications · 32 citations

    2

    h-index

  3. ACM SIGPLAN Notices

    2 publications · 32 citations

    2

    h-index

  4. 1

    h-index

  5. 1

    h-index

1–5