“I was curious to establish a baseline for when LLMs are effectively able to solve open math problems compared to where they ...

Math anxiety grows from stress, culture, and experience, not ability. By changing how we teach, test, and talk about math, we ...

They found that students assigned to teachers who used more mathematical vocabulary in their lessons made greater progress ...

Professional mathematicians have been stunned by the progress amateurs have made in solving long-standing problems with the assistance of AI tools, and say it could lead to a new way of doing mathemat ...

THIS unpretentious but trustworthy book deserves a cordial welcome, and is likely to serve a very useful purpose. There is sound sense in the author's conviction that teachers of elementary ...

For centuries, the Pythagorean Theorem has occupied a unique position in mathematics: both elementary and profound. Its ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Abstract: Though quite challenging, training a deep neural network for automatically solving Math Word Problems (MWPs) has increasingly attracted attention due to its significance in investigating how ...

TUCSON, Ariz. (13 News) - Seventy-three percent of Pima County eighth graders aren’t proficient in math, prompting teachers to find new strategies to help students succeed. The University of Arizona’s ...

Awesome Tabular Deep Learning for "Representation Learning for Tabular Data: A Comprehensive Survey". If you use any content of this repo for your work, please cite the following bib entry: ...

This repository contains the code and resources for the paper Thinker: Learning to Think Fast and Slow, published at NeurIPS 2025. Our work introduces the Thinker task, a novel four-stage ...