Marrying Adapters and Mixup to Efficiently Enhance the Adversarial Robustness of Pre-Trained Language Models for Text Classification.
Tuc NguyenThai LePublished in: CoRR (2024)
Keyphrases
- language model
- text classification
- language modeling
- n gram
- pre trained
- retrieval model
- probabilistic model
- document retrieval
- speech recognition
- query expansion
- bag of words
- information retrieval
- language modelling
- text categorization
- training data
- context sensitive
- statistical language modeling
- relevance model
- statistical language models
- machine learning
- knn
- naive bayes
- test collection
- text mining
- term frequency
- smoothing methods
- language models for information retrieval
- text classifiers
- training examples
- feature selection
- translation model
- unlabeled data
- labeled data
- small number
- data mining
- neural network