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Safety Reconstructed: Generative Modeling via Masked Diffusion Builds Strong Safety Guardrails

LLaDA-Guard uses masked diffusion to score responses under each safety label and classify by difference, improving calibration, reducing over-defense, and enabling token-level risk localization with 60.7% prompt rewriting success.

Gert Lek, Abele Mălan, Chaoyi Zhu, Pin-Yu Chen and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5