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Beyond Saying Less: Fine-Grained Alignment for Informative and Faithful Vision-Language Models
Object hallucination remains a major challenge for large vision-language models. While off-policy preference optimization proves to be an effective solution, on-policy reinforcement learning provides a more promising direction as it directly targets a model's current failure modes. However, we find
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