Large language models (LLMs) have significantly advanced natural language understanding and demonstrated strong problem-solving abilities. Despite these successes, most LLMs still struggle with ...

Mathematical reasoning has long been emphasised as a central component of mathematics education and research. Nevertheless, few studies have synthesised how this concept has been treated both ...

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 ...

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

Download PDF 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 ...

Forbes contributors publish independent expert analyses and insights. I write about the economics of AI. What looks like intelligence in AI models may just be memorization. A closer look at benchmarks ...

There’s a curious contradiction at the heart of today’s most capable AI models that purport to “reason”: They can solve routine math problems with accuracy, yet when faced with formulating deeper ...

📖 Schoenfeld’s Anatomy of Mathematical Reasoning by Language Models 🔥🔥 This is the repo for the ThinkARM project, which provides systematic analysis on Mathematical Reasoning by Large Language ...

HANGZHOU -- Chinese AI firm DeepSeek has launched DeepSeekMath-V2, a groundbreaking mathematical reasoning model that sets new performance benchmarks and pushes the frontiers of AI-powered ...