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.

A marriage of formal methods and LLMs seeks to harness the strengths of both.

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to ...

Abstract: This article presents the study of linear fractional programming (LFP) problems under intuitionistic fuzzy setting. The objective of this paper is to solve ...