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.

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

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

Learn how to calculate the area under curves numerically using Python in this step-by-step tutorial! This video covers essential numerical integration techniques, including the trapezoidal and Simpson ...