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Yuewen Mei

1 accepted papers

2026

Steerable Adversarial Scenario Generation through Test-Time Preference Alignment

ICLR 2026poster

Adversarial scenario generation is a cost-effective approach for safety assessment of autonomous driving systems. However, existing methods are often constrained to a single, fixed trade-off between competing objectives such as adversariality and realism. This yields behavior-specific models that c…

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