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Korea University, Georgia Institute of Technology
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Non-English users pay a significantly higher price for safety alignment in AI models, revealing systemic inequities in current practices.
Aligning soft-token representations across languages can boost multilingual reasoning accuracy by over 17 points, especially for low-resource languages.
Train web-navigating agents in safe, scalable, and verifiable synthetic environments automatically cloned from real websites, sidestepping the risks and limitations of real-world interaction.
