A Transformer Based Multimodal Fine-Fusion Model for False Information Detection

Baining Xu, Yu-Bo Cao, Jie Meng, Zi-Jian He, Li Wang 0014. A Transformer Based Multimodal Fine-Fusion Model for False Information Detection. In Hamido Fujita, Yinglin Wang, Yanghua Xiao, Ali Moonis, editors, Advances and Trends in Artificial Intelligence. Theory and Applications - 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023, Shanghai, China, July 19-22, 2023, Proceedings, Part I. Volume 13925 of Lecture Notes in Computer Science, pages 271-277, Springer, 2023. [doi]

@inproceedings{XuCMHW23,
  title = {A Transformer Based Multimodal Fine-Fusion Model for False Information Detection},
  author = {Baining Xu and Yu-Bo Cao and Jie Meng and Zi-Jian He and Li Wang 0014},
  year = {2023},
  doi = {10.1007/978-3-031-36819-6_24},
  url = {https://doi.org/10.1007/978-3-031-36819-6_24},
  researchr = {https://researchr.org/publication/XuCMHW23},
  cites = {0},
  citedby = {0},
  pages = {271-277},
  booktitle = {Advances and Trends in Artificial Intelligence. Theory and Applications - 36th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2023, Shanghai, China, July 19-22, 2023, Proceedings, Part I},
  editor = {Hamido Fujita and Yinglin Wang and Yanghua Xiao and Ali Moonis},
  volume = {13925},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-36819-6},
}