A new study by Shanghai Jiao Tong University and SII Generative AI Research Lab (GAIR) shows that training large language models (LLMs) for complex, autonomous tasks does not require massive datasets.
Abstract: To successfully reconstruct the strong scatterers with high contrast in electromagnetic inverse scattering problems (ISPs), this letter proposes a region iteration method (RIM) based on the ...
As a result, researchers are now exploring new strategies such as iterative and hierarchical reasoning. These methods aim to make reasoning deeper, more efficient, and more robust. This article ...
ABSTRACT: This study presents a comprehensive numerical investigation of fourth-order nonlinear boundary value problems (BVPs) using an efficient and accurate computational approach. The present work ...
ABSTRACT: This study presents a comprehensive numerical investigation of fourth-order nonlinear boundary value problems (BVPs) using an efficient and accurate computational approach. The present work ...
Abstract: The data-driven output regulation problem via internal model principle has been studied by both policyiteration method and value-iteration method. But the results were limited to ...
The recommended way to delete e.g. rows based on some predicate is the DeleteAll method. If you wish to e.g. delete every other row in a range, you can now do this: It is recommended to use a For-Loop ...
The variational iteration method was proposed by Ji-Huan He in later 1990s [1,2]. It has been caught much attention since 2007[3,4], when the method was systematically summarized and variational ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results