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FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering.

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Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes., , , , , , , , , and 2 other author(s). DE-FACTIFY@AAAI, volume 3555 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI)., , , , , , , , , and 2 other author(s). EMNLP, page 2206-2239. Association for Computational Linguistics, (2023)Factify 2: A multimodal fake news and satire news dataset., , , , , , , , , and 2 other author(s). DE-FACTIFY@AAAI, volume 3555 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering., , , , , , , and . ACL (1), page 10421-10440. Association for Computational Linguistics, (2023)Findings of factify 2: multimodal fake news detection., , , , , , , , , und 2 andere Autor(en). DE-FACTIFY@AAAI, Volume 3555 von CEUR Workshop Proceedings, CEUR-WS.org, (2023)Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes., , , , , , , , , und 2 andere Autor(en). DE-FACTIFY@AAAI, Volume 3555 von CEUR Workshop Proceedings, CEUR-WS.org, (2023)Counter Turing Test CT^2: AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index., , , , , , , , , und 2 andere Autor(en). CoRR, (2023)FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering., , , , , , , , , und 8 andere Autor(en). EMNLP, Seite 15282-15322. Association for Computational Linguistics, (2023)