When Seeing Is Not Enough: Benchmarking Interactive Visual Grounding in LVLMs
A controlled evaluation framework for interactive visual grounding in large vision-language models (LVLMs) is introduced, varying how much target information is provided upfront and how much must be acquired through dialogue.
Zhengxiang Wang, Owen Rambow
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