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News/Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models
arxiv
PublishedJune 26, 2026 at 4:00 AM

Joint Reward Modeling: Internalizing Chain-of-Thought for Efficient Visual Reward Models

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arXiv:2602.07533v2 Announce Type: replace Abstract: Reward models are critical for reinforcement learning from human feedback, as they determine the alignment quality and reliability of generative models. For complex tasks such as image editing, reward models are required to capture global semantic

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