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V-GIFT: Boosting Visual Instruction Tuning with Self-Supervised Guidance
Multimodal large language models (MLLMs) perform well on many vision-language tasks but often struggle with vision-centric problems that require fine-grained visual perception. Recent evidence suggests that this limitation arises not from weak visual representations, but from under-utilization of vi
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