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The Hong Kong University of Science and Technology, Kuaishou Technology, University of Chinese Academy of Sciences
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NormGuard effectively preserves reward alignment in RL fine-tuning while significantly enhancing perceptual quality, challenging the notion that post-training improvements come at the cost of visual fidelity.
