Enhancing User Agency in Generative Language Models: Algorithmic Recourse for Toxicity Filtering

Generative Language Models (GLMs) are being increasingly integrated into various sectors, including customer service and content creation, which necessitates maintaining a balance between moderation and freedom of expression. Hence, the need for a sophisticated approach to moderating potentially harmful content while preserving linguistic diversity and inclusiveness has never been more critical.  Toxicity scoring systems, designed […]

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