AINeutralarXiv – CS AI · Mar 66/10
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Context-Dependent Affordance Computation in Vision-Language Models
Researchers found that vision-language models like Qwen-VL and LLaVA compute object affordances in highly context-dependent ways, with over 90% of scene descriptions changing based on contextual priming. The study reveals that these AI models don't have fixed understanding of objects but dynamically interpret them based on different situational contexts.