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Practice — Multimodal LLMs and Vision (4 questions)

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How Vision-Language Models Distinguish Between Multiple Objects Permalink →

A multimodal LLM like GPT-4V/GPT-4o is shown a photo containing several different objects (say, a cat, a dog, and a bowl on a table). When you ask "what color is the dog's collar," how does the model know which item in the image is the dog, as opposed to the cat or the bowl? Does it "detect" objects the way a model like YOLO does?

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Why Patch Tokenization Instead of CNN Feature Maps

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Why VLMs Struggle to Count Objects Accurately

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Set-of-Mark Prompting for Reliable Object Reference

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