RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

2 code implementations • Findings of the Association for Computational Linguistics 2020 • Samuel Gehman, Suchin Gururangan, Maarten Sap, Yejin Choi, Noah A. Smith

We investigate the extent to which pretrained LMs can be prompted to generate toxic language, and the effectiveness of controllable text generation algorithms at preventing such toxic degeneration.

Sentence Text Generation