VisualScratchpad: Inference-time Visual Concepts Analysis in Vision Language Models
VisualScratchpad: Inference-time Visual Concepts Analysis in Vision Language Models explores VisualScratchpad is an interactive interface for debugging vision language models by analyzing visual concepts during inference, enabling users to identify failure modes and improve model performance.. Commercial viability score: 7/10 in Vision Language Models.
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