Bi-encoder Ranking

Bi-Encoder Ranking is a retrieval method in information retrieval that employs two separate encoder networks to independently map queries and documents into a shared latent space, where relevance is determined by computing similarity scores between the encoded representations.

4

Publications

384

Citations

15

Authors

8

Institutions

Publications per year

2017–2026

4

Authors

15

  1. SR
    Sebastian Riedel

    University College London, United Kingdom

    2 publications · 358 citations

    2

    h-index

  2. FP
    Fabio Petroni

    Meta (Israel), Israel

    2 publications · 358 citations

    2

    h-index

  3. MJ
    Martin Josifoski

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 358 citations

    2

    h-index

  4. LZ
    Luke Zettlemoyer

    University of Washington, United States

    2 publications · 358 citations

    2

    h-index

  5. LW
    Ledell Wu

    Beijing Academy of Artificial Intelligence, China

    2 publications · 358 citations

    2

    h-index

1–5 of 15

Venues

  1. arXiv (Cornell University)

    Repository · 1 publications · 20 citations

    1

    h-index

  2. Proceedings of the ACM Web Conference 2022

    Conference · 1 publications · 11 citations

    1

    h-index

1–2