Model editing techniques modify a minor proportion of knowledge in Large...
Physical adversarial attacks have put a severe threat to DNN-based objec...
Recently, physical adversarial attacks have been presented to evade
DNNs...
Recently, many studies incorporate external knowledge into character-lev...
Adversarial patch is an important form of real-world adversarial attack ...
Offline reinforcement learning (RL) struggles in environments with rich ...
Span-based joint extraction simultaneously conducts named entity recogni...
An exhaustive study has been conducted to investigate span-based models ...
Textual adversarial attacks expose the vulnerabilities of text classifie...
Few-shot named entity recognition (NER) enables us to build a NER system...
Text summarization models are often trained to produce summaries that me...
Document retrieval enables users to find their required documents accura...
For Named Entity Recognition (NER), sequence labeling-based and span-bas...
We introduce Astroconformer, a Transformer-based model to analyze stella...
Multivariate time series forecasting is a challenging task because the d...
Current perception models in autonomous driving have become notorious fo...
Span-based joint extraction simultaneously conducts named entity recogni...
Electrocardiogram (ECG) is one of the most convenient and non-invasive t...
Human action recognition in video is an active yet challenging research ...
Following the recent progress in image classification and captioning usi...
Drug-drug interaction (DDI) is a vital information when physicians and
p...