AINeutralarXiv – CS AI · 14h ago6/10
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Understanding Generalization in Role-Playing Models via Information Theory
Researchers introduce R-EMID, an information-theoretic metric to diagnose how distribution shifts degrade role-playing model performance in real-world deployments. The framework reveals that user shifts pose the greatest generalization risk, while co-evolving reinforcement learning provides the most effective mitigation strategy.