Language Model Retrieval

Language Model Retrieval is a document retrieval paradigm within biomedical information retrieval that leverages pre-trained language models to represent and match queries with biomedical documents based on deep semantic similarity rather than lexical overlap.

51

Publications

4.3K

Citations

279

Authors

89

Institutions

Publications per year

2017–2026

34

Authors

279

  1. ZZ
    Zexuan Zhong

    Princeton University, United States

    3 publications · 338 citations

    3

    h-index

  2. CZ
    ChengXiang Zhai

    University of Illinois Urbana-Champaign, United States

    3 publications · 361 citations

    3

    h-index

  3. DC
    Danqi Chen

    Princeton University, United States

    3 publications · 338 citations

    3

    h-index

  4. QJ
    Qiao Jin

    National Institutes of Health, United States

    2 publications · 248 citations

    2

    h-index

  5. JS
    Jimeng Sun

    Georgia Institute of Technology, United States

    2 publications · 248 citations

    2

    h-index

1–5 of 279

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 439 citations

    9

    h-index

  2. Radiology

    2 publications · 63 citations

    2

    h-index

  3. Journal of the American Medical Informatics Association

    JAMIA · 2 publications · 88 citations

    2

    h-index

  4. Text REtrieval Conference

    Conference · 2 publications · 43 citations

    2

    h-index

  5. 1

    h-index

1–5