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Backdoor attacks in MLLMs can be effectively neutralized without prior knowledge of the trigger, achieving near-perfect defense in most scenarios.
Code-MUE reveals a striking -0.98 correlation between uncertainty and functional correctness in Code LLMs, offering a new lens for assessing model reliability.
