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Overparameterized DMD achieves exponential speedups in convergence for low-rank matrix optimization, even when the target rank is uncertain.
Achieving unprecedented accuracy in Open Relation Extraction, ReaORE outperforms traditional methods by effectively distinguishing between easily confused relations through advanced reasoning techniques.
OTF-CBM reveals that dynamic transport processes can significantly enhance the interpretability and accuracy of vision-language models, outperforming static alignment methods.
Achieving an ultra-low specific surface area of 1.89 m2 g-1, this hard carbon anode delivers a remarkable reversible capacity of 342.3 mAh g-1 with an initial Coulombic efficiency of 90.4%.
Achieving a 5脳 speedup in kernel-level operations while maintaining accuracy could revolutionize long-context modeling efficiency on NPUs.
LLMs can get a +3% boost in mathematical reasoning accuracy just by explicitly thinking about *what* kind of problem they're facing before diving into *how* to solve it.
Achieve up to 74% improvement in stock ranking accuracy by disentangling temporal trends and purifying structural relationships, sidestepping the crosstalk problem that plagues existing graph-based methods.
Zeroth-order optimization stability depends on the *entire* Hessian spectrum, not just the largest eigenvalue like first-order methods, offering a new perspective on implicit regularization.
