Hallucination Detection is a methodological framework in natural language processing that identifies generated text segments lacking factual grounding or verifiable support in the input context or external evidence.
126
Publications
11.1K
Citations
572
Authors
170
Institutions
Publications per year
2017–2026
103
Parents
Publications
126
Detecting hallucinations in large language models using semantic entropy
Sebastian Farquhar, Jannik Kossen, Lorenz Kuhn et al. · Nature · 2024 · 626 citations · Full text
A mathematical theory of visual hallucination patterns
G. Bard Ermentrout, Jack D. Cowan · Biological Cybernetics · 1979 · 607 citations
Medicine, Mathematics, Psychology +12
Retrieval Augmentation Reduces Hallucination in Conversation
Kurt Shuster, Spencer Poff, Moya Chen et al. · 2021 · 465 citations · Full text
1–5 of 126
Authors
572
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1–5 of 572
Institutions
170
Tencent (China)
Shenzhen, China
5 h-index
11 publications
557 citations
Centre National de la Recherche Scientifique
Paris, France
4 h-index
20 publications
487 citations
Google (United States)
Mountain View, United States
4 h-index
9 publications
662 citations
Centre Hospitalier Universitaire de Lille
Lille, France
4 h-index
20 publications
485 citations
Inserm
Paris, France
4 h-index
8 publications
762 citations
Université de Lille
Lille, France
4 h-index
25 publications
640 citations
Carnegie Mellon University
Pittsburgh, United States
4 h-index
11 publications
808 citations
Harbin Institute of Technology
Harbin, China
3 h-index
13 publications
14K citations
1–8 of 170
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- arXiv (Cornell University)
Repository · 31 publications · 1.3K citations
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- Pattern Recognition
2 publications · 78 citations
2
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- Human Brain Mapping
2 publications · 46 citations
2
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- Image and Vision Computing
2 publications · 21 citations
2
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- IEEE Transactions on Pattern Analysis and Machine Intelligence
TPAMI · 2 publications · 101 citations
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