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Study Reveals AI Models Trust Text Over Images 98% of Time, Even When Wrong
This is a Plain English Papers summary of a research paper called Study Reveals AI Models Trust Text Over Images 98% of Time, Even When Wrong. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Vision-language models (VLMs) often prioritize text over visual information Models show "blind faith" in textual descriptions even when contradicting images GPT-4V shows 98% text influence on decisions when text and images conflict Textual certainty and agreement with prior text impacts model confidence Major VLMs (GPT-4V, Claude, Gemini) evaluated on "TEXTVISION" benchmark Study reports "modality bias" metrics to measure reliance on text vs. images Plain English Explanation Vision-language models like GPT-4V and Claude are designed to understand both images and text. But do they trust their eyes or your words more? This research reveals that these AI systems have a strong bias toward believing what you tell them in text, even when the image clearl... Click here to read the full summary of this paper
This is a Plain English Papers summary of a research paper called Study Reveals AI Models Trust Text Over Images 98% of Time, Even When Wrong. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter.
Overview
- Vision-language models (VLMs) often prioritize text over visual information
- Models show "blind faith" in textual descriptions even when contradicting images
- GPT-4V shows 98% text influence on decisions when text and images conflict
- Textual certainty and agreement with prior text impacts model confidence
- Major VLMs (GPT-4V, Claude, Gemini) evaluated on "TEXTVISION" benchmark
- Study reports "modality bias" metrics to measure reliance on text vs. images
Plain English Explanation
Vision-language models like GPT-4V and Claude are designed to understand both images and text. But do they trust their eyes or your words more? This research reveals that these AI systems have a strong bias toward believing what you tell them in text, even when the image clearl...
