Abstract: We present a multi-way parallel corpus of Math Word Problems (MWPs) in nine languages, including six low-resource languages. To date, this is the largest multilingual MWP dataset available.
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Reasoning: A smarter way for AI to understand text and images
Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...
Abstract: This article presents the study of linear fractional programming (LFP) problems under intuitionistic fuzzy setting. The objective of this paper is to solve ...
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