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 ...

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

The president doesn’t use numbers and statistics like an adult; he uses numbers and statistics that he thinks sound good and make him feel better.

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

These student-constructed problems foster collaboration, communication, and a sense of ownership over learning.

Over the weekend, Neel Somani, who is a software engineer, former quant researcher, and a startup founder, was testing the math skills of OpenAI’s new model when he made an unexpected discovery. After ...

Some math problems are designed in ways that reward simplicity rather than analytical depth. Research shows that highly intelligent individuals are more likely to overthink these problems, leading to ...

There is a tendency to imagine genius as smooth and uninterrupted. As if the great thinkers moved from one insight to the next without pause. Albert Einstein does not quite fit that picture. For all ...

GSM8K-V is a purely visual multi-image mathematical reasoning benchmark that systematically maps each GSM8K math word problem into its visual counterpart to enable a clean, within-item comparison ...