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SemViQA: A Semantic Question Answering System for Vietnamese Information Fact-Checking

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Tran, Dien X., Nguyen, Nam V., Tran, Thanh T., Hoang, Anh T., Duong, Tai V., Le, Di T., Le, Phuc-Lu
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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