27 citations · 44 across the 4 of their papers we have counts for
4 papers
Plug-Tagger: A Pluggable Sequence Labeling Framework Using Language Models
Xin Zhou, Ruotian Ma, Tao Gui +3
Plug-and-play functionality allows deep learning models to adapt well to different tasks without requiring any parameters modified. Recently, prefix-tuning was shown to be a plug-a…
KNN-BERT: Fine-Tuning Pre-Trained Models with KNN Classifier
Linyang Li, Demin Song, Ruotian Ma +2
Pre-trained models are widely used in fine-tuning downstream tasks with linear classifiers optimized by the cross-entropy loss, which might face robustness and stability problems.…
Template-free Prompt Tuning for Few-shot NER
Ruotian Ma, Xin Zhou, Tao Gui +4
Prompt-based methods have been successfully applied in sentence-level few-shot learning tasks, mostly owing to the sophisticated design of templates and label words. However, when…
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Linyang Li, Demin Song, Xiaonan Li +3
\textbf{P}re-\textbf{T}rained \textbf{M}odel\textbf{s} have been widely applied and recently proved vulnerable under backdoor attacks: the released pre-trained weights can be malic…