Abstract: Aiming at the shortcomings of traditional convolutional neural network methods in capturing long-range spatial dependencies in fine-grained image recognition due to the restricted sensory ...
Abstract: In this work, we present a contribution on the applicability of the recursive least squares method used for the parametric identification of a corona discharge phenomenon at small distances.
RLM enables LLMs to process arbitrarily long contexts by treating them as an external environment that can be programmatically explored via a JavaScript REPL. Instead of feeding entire long documents ...
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