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Enhancing Factual Consistency in Large Language Models: An Integrative Paradigm of Grounding and Self-Prompting Methods for Hallucination Minimization

Said Saidakhrarovich GulyamovDepartment of Cyber Law, Tashkent State University of Law, Tashkent, UzbekistanИсламбек РустамбековDepartment of Cyber Law, Tashkent State University of Law, Tashkent, UzbekistanSirio ZoleaRoma Tre University, Roma, ItalyDilshod EgamberdievDepartment of Cyber Law, Tashkent State University of Law, Tashkent, UzbekistanEkaterina KanDepartment of Cyber Law, Tashkent State University of Law, Tashkent, UzbekistanMadina YakubovaDepartment of Cyber Law, Tashkent State University of Law, Tashkent, UzbekistanAndrey Aleksandrovich RodionovDepartment of Cyber Law, Tashkent State University of Law, Tashkent, UzbekistanGayrat EshboyevDepartment of Cyber Law, Tashkent State University of Law, Tashkent, UzbekistanTimur PulatovDepartment of Cyber Law, Tashkent State University of Law, Tashkent, Uzbekistan

Lecture notes in networks and systemsbook series2026en

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Mental Health via Writing Topic Modeling Explainable Artificial Intelligence (XAI)

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DOI: 10.1007/978-981-96-9771-7_13

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