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

FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering Weizhe Lin author Zhilin Wang author Bill Byrne author 2023-05 text Findings of the Association for Computational Linguistics: EACL 2023 Andreas Vlachos editor Isabelle Augenstein editor Association for Computational Linguistics Dubrovnik, Croatia conference publication lin-etal-2023-fvqa 10.18653/v1/2023.findings-eacl.11 https://aclanthology.org/2023.findings-eacl.11/ 2023-05 149 157