Aug. 11, 2023, 6:49 a.m. | Xinlei He, Savvas Zannettou, Yun Shen, Yang Zhang

cs.CL updates on arXiv.org arxiv.org

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, …

arxiv effects experience impact importance language language models large language large language models prompt prompt learning research society solutions

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