1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2024★ 1 cited
RAFT: Realistic Attacks to Fool Text Detectors
James Wang, Ran Li, Junfeng Yang +1
Large language models (LLMs) have exhibited remarkable fluency across various tasks. However, their unethical applications, such as disseminating disinformation, have become a grow…
cs.CV2022
Causal Transportability for Visual Recognition
Chengzhi Mao, Kevin Xia, James Wang +4
Visual representations underlie object recognition tasks, but they often contain both robust and non-robust features. Our main observation is that image classifiers may perform poo…
cs.LG2022
With Greater Distance Comes Worse Performance: On the Perspective of Layer Utilization and Model Generalization
James Wang, Cheng-Lin Yang
Generalization of deep neural networks remains one of the main open problems in machine learning. Previous theoretical works focused on deriving tight bounds of model complexity, w…