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

Artificial intelligence systems may be good at generating text, recognizing images, and even solving basic math problems—but when it comes to advanced mathematical reasoning, they are hitting a wall.

Kavita Sahay Kerawalla, Vice-Chairperson, VIBGYOR Group of Schools. Mathematical reasoning is a vital talent that supports much of our contemporary society, yet it is sometimes disregarded in high ...

EdSource · This California Teacher of the Year embraces her dwarfism as a strength While policymakers, researchers and educators decide how our children learn math, parents don’t seem to be anywhere ...

A National Academies of Sciences, Engineering, and Medicine-appointed ad hoc committee will plan and organize a workshop that will bring together academic, industry, and government stakeholders to ...

The way we memorize information—such as a mathematical problem statement—reveals how we process it. A team from the University of Geneva (UNIGE), in collaboration with CY Cergy Paris University (CYU) ...

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