Adding random noise during training improves alignment generalization, paper claims
Sauers_ · x · 2026-11-15
The author shares a paper's finding: adding random noise during training while instructing the model to keep its values stable under perturbation improves alignment generalization. A surprisingly simple trick for more robust value alignment.
Related event: Injecting Random Noise During Training Improves Alignment Generalization(8 posts)→
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