Mathematical language processing and problem solving represent a confluence of artificial intelligence, natural language processing and symbolic reasoning, aiming to bridge the gap between human ...

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

Writing is similar to three specific mathematical practices: modelling, problem-solving and proving, writes Caroline Yoon. Learn how to use these to improve academic writing I feel for my students ...

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 ...

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

A member of our research community, Terhi Vessonen, along with her co-authors (Heidi Hellstrand, Matti Kurkela, Pirjo Aunio, and Anu Laine), has conducted a systematic review and meta-analysis ...

Google's (NASDAQ:GOOG)(NASDAQ:GOOGL) artificial intelligence models have reached new heights after achieving silver-medal standards through solving International Mathematical Olympiad, or IMO, ...

This is a huge advance for AI to make big progress with better reasoning and better math. Artificial general intelligence (AGI) with advanced mathematical reasoning has the potential to unlock new ...