The paper reports higher harmful-output rates in three open-source VLMs from detailed image descriptions, in-context examples, and positive openings, and from a skip connection between internal layers, with memes rivaling toxic images.
Expllm: Towards chain of thought for facial expression recognition,
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Innocence in the Crossfire: Roles of Skip Connections in Jailbreaking Visual Language Models
The paper reports higher harmful-output rates in three open-source VLMs from detailed image descriptions, in-context examples, and positive openings, and from a skip connection between internal layers, with memes rivaling toxic images.