Fact-checking In Language Models

Fact-Checking in Language Models is a methodological framework within computational linguistics that systematically verifies the factual accuracy of generated textual claims by aligning model outputs with authoritative knowledge sources through automated reasoning and evidence retrieval.

57

Publications

8.8K

Citations

249

Authors

83

Institutions

Publications per year

2017–2026

56

Authors

249

  1. PN
    Preslav Nakov

    Sofia University "St. Kliment Ohridski", Bulgaria

    5 publications · 323 citations

    5

    h-index

  2. FM
    Filippo Menczer

    Indiana University Bloomington, United States

    4 publications · 237 citations

    4

    h-index

  3. IA
    Isabelle Augenstein

    University of Copenhagen, Denmark

    4 publications · 214 citations

    4

    h-index

  4. IS
    Idan Szpektor

    Bar-Ilan University, Israel

    3 publications · 114 citations

    3

    h-index

  5. VC
    Vered Cohen

    Google (Israel), Israel

    3 publications · 114 citations

    3

    h-index

1–5 of 249

Venues

  1. arXiv (Cornell University)

    Repository · 13 publications · 358 citations

    12

    h-index

  2. 2

    h-index

  3. 2

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  4. Research Square

    Repository · 1 publications · 45 citations

    1

    h-index

  5. Journal of Web Semantics

    1 publications · 73 citations

    1

    h-index

1–5