AI systems are beginning to produce proof ideas that experts take seriously, even when final acceptance is still pending.

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 ...

Frustrated by the AI industry’s claims of proving math results without offering transparency, a team of leading academics has ...

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

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

Today's Wordle answer should be easy to solve if you love geometry. If you just want to be told today's word, you can jump to the bottom of this article for today's Wordle solution revealed. But if ...

While math word problems are widely used in classrooms at all grade levels to help put numbers, operations, and equations into context and connect math to the real world, they also increase the ...

At Izetta Sparks Elementary, mornings are for math. "Mrs. Newcomb went to the candy store and bought 43 bags of sour gummy worms..." said Alyssa Newcomb while standing at the smart board, introducing ...

“Yoshua recently turned 57. He is three years younger than Yann. How old is Yann?” Solving such a math word problem (MWP) requires understanding the short natural language narrative describing a state ...