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CapProbe reveals that many vision-language models exhibit substantial gaps in coverage, challenging the reliability of existing caption evaluation metrics.
SlimVLM achieves unprecedented efficiency in Vision-Language Models by intelligently pruning redundant visual tokens without sacrificing performance.
