Generative Pre-trained Transformer (GPT) models have exhibited exciting
...
We study (differentially) private federated learning (FL) of language mo...
Large decoder-only language models (LMs) can be largely improved in term...
Federated learning (FL) provides an effective paradigm to train machine
...
Recent studies show that pre-trained language models (LMs) are vulnerabl...
Pre-trained language models (LMs) are shown to easily generate toxic
lan...
Certifying the robustness of model performance under bounded data
distri...
Large-scale pre-trained language models have achieved tremendous success...
Deep learning models exhibit a preference for statistical fitting over
l...
Punctuation restoration is an important post-processing step in automati...
Recent success of deep neural networks (DNNs) hinges on the availability...
Large-scale language models such as BERT have achieved state-of-the-art
...
Recent advances in large-scale language representation models such as BE...
As machine learning (ML) being applied to many mission-critical scenario...
While there has been great interest in generating imperceptible adversar...
Given a data set D containing millions of data points and a data
consume...
"How much is my data worth?" is an increasingly common question posed by...