You Only Prompt Once: On the Capabilities of Prompt Learning on Large Language Models to Tackle Toxic Content

Understand

The spread of toxic content online is an important problem that has adverse effects on user experience online and in our society at large.

• Motivated by the importance and impact of the problem, research focuses on developing solutions to detect toxic content, usually leveraging machine learning (ML) models trained on human-annotated datasets.
• While these efforts are important, these models usually do not generalize well and they can not cope with new trends (e.g., the emergence of new toxic terms).
• Currently, we are witnessing a shift in the approach to tackling societal issues online, particularly leveraging large language models (LLMs) like GPT-3 or T5 that are trained on vast corpora and have strong generalizability.