no code implementations • 25 Apr 2024 • Xiaomin Yu, Yezhaohui Wang, Yanfang Chen, Zhen Tao, Dinghao Xi, Shichao Song, Simin Niu
However, these technologies have also led to the emergence of Fake Artificial Intelligence Generated Content (FAIGC), posing new challenges in distinguishing genuine information.
no code implementations • 27 Feb 2024 • Yang Liu, Xiaomin Yu, Gongyu Zhang, Christos Bergeles, Prokar Dasgupta, Alejandro Granados, Sebastien Ourselin
We train models for these tasks in a zero-shot cross-modal transfer setting, a domain where the previous state-of-the-art method relied on the fixed scale noise injection, often compromising the semantic content of the original modality embedding.
no code implementations • 9 Apr 2023 • Ye Jiang, Xiaomin Yu, Yimin Wang, Xiaoman Xu, Xingyi Song, Diana Maynard
First, we incorporate prompt learning into multimodal fake news detection.
no code implementations • 1 Jan 2021 • Panfeng Chen, Yisong Wang, Renyan Feng, Xiaomin Yu, Quan Yu
The insight of this work enlightens the notion of dense feature model design for KGC which is a new alternative to Deep Neural networks (DNN) in this task or even a better choice.