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

Mathematicians excel at handling complexity and uncertainty. Mathematical reasoning strategies aren't just useful for dilemmas involving numbers. We can apply math mindsets to improve our approach to ...

Top artificial intelligence systems now ace many textbook-style math questions, yet they still fall apart on genuinely new ...

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

This study introduces MathEval, a comprehensive benchmarking framework designed to systematically evaluate the mathematical reasoning capabilities of large language models (LLMs). Addressing key ...

Mathematical language processing and problem solving represent a confluence of artificial intelligence, natural language processing and symbolic reasoning, aiming to bridge the gap between human ...

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

Looking for some math problem-solving activities for middle school? Good, you’re at the right page then. Right before children enter Middle School (around the age of 11 or 12), they enter a critical ...

This psychology-based problem-solving quiz reveals whether you solve problems through logical analysis, gut instinct, ...

Math often feels disconnected from the real lives of students. They learn the steps, solve equations and check their work, ...