Adding one irrelevant sentence to math problems causes AI systems to make confident mistakes over 300 percent more.

Abstract: Taking several topic words and a math expression as input, the aim of math word problem generation is to generate a problem that can be answered by the given expression and related to these ...

This paper presents a novel template-based method to solve math word problems. This method learns the mappings between math concept phrases in math word problems and their math expressions from ...

“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 ...

Working memory is like a mental chalkboard we use to store temporary information while executing other tasks. Scientists worked with more than 200 elementary students to test their working memory, ...

Mathematical problem-solving has long been a benchmark for artificial intelligence (AI). Solving math problems accurately requires not only computational precision but also deep reasoning—an area ...

How do machine learning models do what they do? And are they really “thinking” or “reasoning” the way we understand those things? This is a philosophical question as much as a practical one, but a new ...

Driven by new technology called OpenAI o1, the chatbot can test various strategies and try to identify mistakes as it tackles complex tasks. By Cade Metz Reporting from San Francisco Online chatbots ...

Large language models (LLMs) have demonstrated remarkable reasoning capabilities across various domains. But do they also possess metacognitive knowledge – an understanding of their thinking processes ...

Math word problems can be tricky because they involve more than just numbers. You need to read and understand the problem, figure out what math operation to use, and solve it. This can be overwhelming ...