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Blaz Bratanic

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#artificial intelligence Preprint Sep 2026

The Safety Operator: Modulating the Expression of Safety Instructions via Spectral Optimization

A Contrastive Safety Loss is derived with a suppression weight that controls the tradeoff between emphasizing the safety instruction on harmful queries while suppressing it on harmless queries, supporting the hypothesis that the operator's eigenvalue acts as a continuous dial for the instruction's influence.

Benoit Dherin, Michael Munn, X. Gonzalvo et al. · 0 citations
Preprint Jul 2026

Automatic Hard Example Synthesis with Multi-Level Agentic Data Curation

Multimodal Large Language Models (MLLMs) are increasingly deployed for nuanced content safety and moderation tasks, yet they remain vulnerable to adversarial attacks and out-of-distribution edge cases. Traditional active learning and manual annotation fail to scale against the complexity and volume of novel multimodal...

Genglin Liu, Muye Zhang, Krishnamurthy Viswanathan et al. · 0 citations

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