Narrow fine-tuning erodes safety alignment in vision-language agents | ScienceToStartup | ScienceToStartup

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References (39)

[1]

Natural Emergent Misalignment from Reward Hacking in Production RL

2025M. MacDiarmid, Benjamin Wright et al.

[2]

From Narrow Unlearning to Emergent Misalignment: Causes, Consequences, and Containment in LLMs

2025Erum Mushtaq, Anil Ramakrishna et al.

[3]

Inoculation Prompting: Eliciting traits from LLMs during training can suppress them at test-time

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"Develop a tool to monitor and mitigate safety misalignment in continuously learning vision-language models."

Vision-Language Models•Score: 5•View PDF ↗

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Narrow fine-tuning erodes safety alignment in vision-language agents

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References (39)

Founder's Pitch

"Develop a tool to monitor and mitigate safety misalignment in continuously learning vision-language models."

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Narrow fine-tuning erodes safety alignment in vision-language agents

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References (39)

Founder's Pitch

"Develop a tool to monitor and mitigate safety misalignment in continuously learning vision-language models."

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