FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering - researchr publication authors

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Weizhe Lin, Zhilin Wang, Bill Byrne. FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering. In Andreas Vlachos 0001, Isabelle Augenstein, editors, Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023. pages 149-157, Association for Computational Linguistics, 2023. [doi]

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