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Residual accessibility in LLMs reveals a surprising correlation with recovery speed, challenging the notion that optimizing for audit scores leads to genuine knowledge deletion.
Verifiable temporal grounding in video forensics can drastically improve the detection of AI-generated content, outperforming traditional methods reliant on coarse supervision.
A physics-guided approach in VeinCast reveals that integrating structured atmospheric relations can significantly enhance the accuracy of medium-range weather forecasts.
Pruning 77.8% of visual tokens without losing performance could revolutionize the efficiency of multimodal large language models.