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Enhancing large vision-language models (LVLMs) with visual slow-thinking reasoning is crucial for solving complex multimodal tasks.
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V ∗ * : Guided visual search as a core mechanism in multimodal llms
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Iterative preference learning from human feedback: Bridging theory and practice for RLHF under kl-constraint
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