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

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.

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

RLVR amplifies reasoning patterns that already exist. Qwen2.5-Math can uniquely do “code reasoning”-solving math by writing Python💻 (without execution). Code reasoning correlates with correctness (64 ...

A quick math brain test. You need to discover the pattern and solve it fast before the 11 seconds finish. Try it now!

When it comes to teaching math, a debate has persisted for decades: How, and to what degree, should algorithms be a focus of learning math? The step-by-step procedures are among the most debated ...

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 ...

Math offers us lots of problem-solving techniques that help us distill the essence of questions. Many of us will be familiar with reading a math problem, and needing to figure out what's being asked, ...

Logical reasoning is a crucial skill for math success. It helps understand concepts and solve problems. This skill builds strong arguments and reduces errors. It improves problem-solving across ...