… For the problems in Subsection 4.3, we also compare to the reduced basis method [23, 67]
when instantiated with PCA. We note that both Chkifa and the reduced basis method are …

… -subspace reduced-order models; we also derive a posteriori discrete-time error bounds for
the … ROM on benchmark advection-dominated problems, thereby demonstrating the method's …

… multi-column and multi-row reductions that often consume more time. As long as we find
enough problem changes in this middle-level loop, we again process the innermost loop …

… issues (eg, change serial to parallel) without logical or mathematical violation. An entirely
distinct question is whether the system we build (or the model of … The problem of "intuitiveness" …

… , whereas our best models substantially curtail the issue, reducing hallucinated responses by
… models reduce hallucination in conversations. We show example model outputs in Table 4. …

… [223, 224], a simple NN used to model the error due to the model reduction is shown to
sharply reduce high error regions when applied to known differential equations. Also, in Wan et al…

… that challenge existing LM inference methods even with the state-of-the-art language model…
of different problems. We also analyze how such choices affect model performances via …

… to reduce issues due to model overfitting by providing restricted regularization and improving
generalization by reducing the model … in the pruned VGG16 model reduced by 46.03% …

… approach: we note that problem reduction requires logically thinking … reducing prompts
while only turning solution segments in the solving scripts in PL. We show an example reducing …

… Through initial experiments, we find LLaMA models generally have less severe activation
outlier issues compared to models like OPT and BLOOM. Nonetheless, SmoothQuant still …