Print Join the Discussion View in the ACM Digital Library The mathematical reasoning performed by LLMs is fundamentally different from the rule-based symbolic methods in traditional formal reasoning.

Appen has published a new paper showing that even the most advanced large language models (LLMs) continue to struggle with culturally nuanced translation, particularly when handling idioms, puns, and ...

Do you stare at a math word problem and feel completely stuck? You're not alone. These problems mix reading comprehension ...

Large language models struggle to solve research-level math questions. It takes a human to assess just how poorly they ...

Chain-of-Thought (CoT) prompting has enhanced the performance of Large Language Models (LLMs) across various reasoning tasks.

When you’re in college and out on your own, it’s often the first time you’re the CFO of your own money — and suddenly there’s a lot to keep track of, from buying textbooks to paying for a parking ...

In this video, we explain vectors and derivatives as essential math methods used in physics, showing how they describe motion, direction, and change. Clear explanations and examples help connect ...

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 ...

I don’t typically write responses to other opinion pieces, but there was one two weeks ago about new techniques in elementary math education that has inspired me. The main complaint was that there are ...

Four years ago, I was given a fantastic opportunity to be a math coach for a primary years program. But when I started, there was no framework to work within, no script to follow. I was starting from ...