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Existing unlearnable examples crumble under low-pass filtering, but FUSE ensures robust protection across the entire frequency spectrum.
CFPO boosts multimodal reasoning in LVLMs by enforcing causal consistency, leading to significant improvements in reasoning fidelity.
Overcome reward sparsity in medical visual grounding by dynamically tightening reward criteria based on model performance, leading to improved localization accuracy and training stability.
