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Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection

Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection

16 July 2024
Ye Jiang
Taihang Wang
Xiaoman Xu
Yimin Wang
Xingyi Song
Diana Maynard
ArXivPDFHTML

Papers citing "Cross-Modal Augmentation for Few-Shot Multimodal Fake News Detection"

5 / 5 papers shown
Title
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News
  Detection
AMPLE: Emotion-Aware Multimodal Fusion Prompt Learning for Fake News Detection
Xiaoman Xu
Xiangrun Li
Taihang Wang
Ye Jiang
29
1
0
21 Oct 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
258
7,337
0
11 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language
  Modeling
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling
Renrui Zhang
Rongyao Fang
Wei Zhang
Peng Gao
Kunchang Li
Jifeng Dai
Yu Qiao
Hongsheng Li
VLM
178
281
0
06 Nov 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
241
1,898
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
251
1,382
0
21 Jan 2020
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