MAGNET: Counterfactual samples synthesizing for mitigating hallucination in large language models.
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| Title: | MAGNET: Counterfactual samples synthesizing for mitigating hallucination in large language models. |
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| Authors: | Kim BS; IKLAB Inc., Geumcheon-gu, Seoul, South Korea.; Department of Artificial Intelligence, Yonsei University, Seodaemun-gu, Seoul, South Korea., Kim B; Graduate School of Information, Yonsei University, Seodaemun-gu, Seoul, South Korea., Jang B; Graduate School of Information, Yonsei University, Seodaemun-gu, Seoul, South Korea. |
| Source: | PloS one [PLoS One] 2026 Feb 23; Vol. 21 (2), pp. e0340812. Date of Electronic Publication: 2026 Feb 23 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0340812 |
