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Channel-wise contributions in MBR decoding reveal distinct characteristics that could significantly improve text generation quality when properly weighted.
Low-resource languages are structurally more distinct from English than their high-resource counterparts, revealing critical insights into LLM multilinguality.
A single, optimized text snippet can fool CLIP into thinking it's a good caption for almost any image, revealing a surprising vulnerability in cross-modal understanding.
