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.

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

Most of us have probably cheated on a test or an essay assignment and got away with. However, teachers don’t make it the ...

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

These low-floor, high-ceiling problems support differentiation, challenging all students by encouraging flexible thinking and allowing for multiple solution paths.

Axiom says its AI found solutions to several long-standing math problems, a sign of the technology’s steadily advancing reasoning capabilities.

Four simple strategies—beginning with an image, previewing vocabulary, omitting the numbers, and offering number sets—can have a big impact on learning.

Abstract: In this paper, a novel multi-phase architecture for an accurate math word translation system is proposed. This system, ¿MathMaster¿, was designed to help students to gradually develop skills ...

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 ...