most citedScaling Reinforcement Learning for Content Moderation with Large Language Models

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Scaling Reinforcement Learning for Content Moderation with Large Language Models

Hamed Firooz, Rui Liu, Yuchen Lu +15

Content moderation at scale remains one of the most pressing challenges in today's digital ecosystem, where billions of user- and AI-generated artifacts must be continuously evalua…

cs.AI2025

MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge through Group Direct Preference Optimization

Lanxue Zhang, Yuqiang Xie, Fang Fang +3

Large Language Models demonstrate strong reasoning capabilities, which can be effectively compressed into smaller models. However, existing datasets and fine-tuning approaches stil…