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LFPM achieves robust backdoor mitigation in model merging while maintaining clean-task performance, challenging the efficacy of traditional parameter-space defenses.
Even state-of-the-art vision-language models still struggle to reconcile visual evidence with commonsense, often hallucinating based on prior knowledge instead of what they actually see.
