2024
Efficient Toxic Content Detection by Bootstrapping and Distilling Large Language Models
AAAI 2024technical
Toxic content detection is crucial for online services to remove inappropriate content that violates community standards. To automate the detection process, prior works have proposed varieties of machine learning (ML) approaches to train Language Models (LMs) for toxic content detection. However, bo…