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

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]

@inproceedings{LinWB23,
  title = {FVQA 2.0: Introducing Adversarial Samples into Fact-based Visual Question Answering},
  author = {Weizhe Lin and Zhilin Wang and Bill Byrne},
  year = {2023},
  url = {https://aclanthology.org/2023.findings-eacl.11},
  researchr = {https://researchr.org/publication/LinWB23},
  cites = {0},
  citedby = {0},
  pages = {149-157},
  booktitle = {Findings of the Association for Computational Linguistics: EACL 2023, Dubrovnik, Croatia, May 2-6, 2023},
  editor = {Andreas Vlachos 0001 and Isabelle Augenstein},
  publisher = {Association for Computational Linguistics},
  isbn = {978-1-959429-47-0},
}