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cs.AI2025★ 1 cited
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.AI2018
Demand-Weighted Completeness Prediction for a Knowledge Base
Andrew Hopkinson, Amit Gurdasani, Dave Palfrey +1
In this paper we introduce the notion of Demand-Weighted Completeness, allowing estimation of the completeness of a knowledge base with respect to how it is used. Defining an entit…