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Citation pathways reveal that the true impact of academic work may be obscured by traditional metrics, highlighting the importance of knowledge intermediaries in shaping scholarly influence.
MCAO reveals a way to optimize Gaussian basis sets for copper solids, overcoming linear dependence issues while maintaining accuracy in correlated-wavefunction benchmarks.
A dual-$\boldsymbol k$-mesh strategy transforms BSE calculations, achieving unprecedented accuracy and efficiency in modeling absorption spectra.
Tailoring evaluation taxonomies for each vision-language model reveals a 32% improvement in performance and uncovers unique model blind spots that global assessments miss.
The letter-grade system may mask critical insights into student performance, leading to a staggering 69% loss in diagnostic information and significant instability in academic assessments.
Achieving competitive video super-resolution quality with just 11.25% of the usual trainable parameters, LiteVSR redefines efficiency in adapting frozen diffusion models.
Students can significantly enhance their understanding of AI by recognizing the similarities between their mathematical skills and AI operations, transforming how we teach both subjects.
