Towards trustworthy and aligned machine learning: A data-centric survey with causality perspectives
The trustworthiness of machine learning has emerged as a critical topic in the field,
encompassing various applications and research areas such as robustness, security …
encompassing various applications and research areas such as robustness, security …
ToxiCloakCN: Evaluating Robustness of Offensive Language Detection in Chinese with Cloaking Perturbations
Detecting hate speech and offensive language is essential for maintaining a safe and
respectful digital environment. This study examines the limitations of state-of-the-art large …
respectful digital environment. This study examines the limitations of state-of-the-art large …
Scientific Paper Classification by Fusing BERT and GCN
X Zhang, X Yu, X Liu, X Lyu - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
This paper proposes a BERT-based graph convolutional neural network (BERT-GCN)
model for classifying scientific papers, which combines a fine-tuned BERT and a graph …
model for classifying scientific papers, which combines a fine-tuned BERT and a graph …