Tinted Frames: Question Framing Blinds Vision-Language Models | ScienceToStartup | ScienceToStartup

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References (46)

[1]

Qwen3-VL Technical Report

2025Shuai Bai, Yuxuan Cai et al.

[2]

To Sink or Not to Sink: Visual Information Pathways in Large Vision-Language Models

2025Jiayun Luo, Wan-Cyuan Fan et al.

[3]

LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training

Founder's Pitch

"A prompt-tuning method that improves vision-language model performance by addressing framing-induced visual attention biases."

Vision-Language Models•Score: 7•View PDF ↗

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Tinted Frames: Question Framing Blinds Vision-Language Models

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References (46)

Founder's Pitch

"A prompt-tuning method that improves vision-language model performance by addressing framing-induced visual attention biases."

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Tinted Frames: Question Framing Blinds Vision-Language Models

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References (46)

Founder's Pitch

"A prompt-tuning method that improves vision-language model performance by addressing framing-induced visual attention biases."

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