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cs.LG2026
Consistency Training Along the Transformer Stack
Sukrati Gautam, Neil Shah, Arav Dhoot +7
Consistency training encourages models to behave similarly across different contexts, and has shown promise for reducing misalignment. We broaden the scope of consistency training…
cs.CV2026
Hierarchical Refinement of Universal Multimodal Attacks on Vision-Language Models
Peng-Fei Zhang, Zi Huang
Existing adversarial attacks for VLP models are mostly sample-specific, resulting in substantial computational overhead when scaled to large datasets or new scenarios. To overcome…