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.
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8.8K
Citations
249
Authors
83
Institutions
Publications per year
2017–2026
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University of Cambridge
Cambridge, United Kingdom
4 h-index
7 publications
1.2K citations
Stanford University
Stanford, United States
3 h-index
3 publications
179 citations
Google (Israel)
Haifa, Israel
3 h-index
22 publications
1.1K citations
University of Copenhagen
Copenhagen, Denmark
3 h-index
8 publications
317 citations

Renmin University of China
Beijing, China
2 h-index
5 publications
105 citations
University of Southern California
Los Angeles, United States
2 h-index
5 publications
171 citations
University of Maryland, College Park
College Park, United States
2 h-index
2 publications
135 citations
University of Oxford
Oxford, United Kingdom
2 h-index
5 publications
259 citations
1–8 of 83
Repository · 13 publications · 358 citations
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Conference · 2 publications · 73 citations
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TACL · 2 publications · 53 citations
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Repository · 1 publications · 45 citations
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1 publications · 73 citations
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