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LLMs struggle significantly with raw electromagnetic signal analysis, scoring as low as 21.2% on complex tasks despite high performance on simpler ones.
Tailoring data augmentation to individual learning states boosts performance by an average of 4.5% on natural images, revealing a new frontier in generative data strategies.
TransAnyText achieves superior e-commerce image translation by transforming image text into editable HTML patches, setting a new standard for accuracy and visual fidelity.
Subtracting information from the student rather than adding it to the teacher can yield performance improvements that rival those achieved with privileged data.
