Math Riddles are so challenging, but that makes them worthwhile to solve. Math riddles are logical problems that require strong analytical abilities, high IQ, knowledge of math concepts, and good ...

We present rStar-Math to demonstrate that small language models (SLMs) can rival or even surpass the math reasoning capability of OpenAI o1, without distillation from superior models. rStar-Math ...

Microsoft researchers have developed ‘rStar-Math’, a method that enables small language models (SLMs) to solve challenging math problems with remarkable accuracy, matching or even surpassing larger ...

A comprehensive Monte Carlo Tree Search (MCTS) framework for evaluating different reward/evaluation strategies when using Large Language Models for mathematical reasoning tasks. This framework ...

This repository contains the code, experiments, and analysis for my Master's thesis exploring the mathematical capabilities of language models. The project investigates how different techniques and ...

Mathematical reasoning has long presented a formidable challenge for AI, demanding not only an understanding of abstract concepts but also the ability to perform multi-step logical deductions with ...

Math riddles are not to everyone's taste. They need a great deal of critical and analytical thinking and are difficult, intriguing, and thought-provoking. They might first seem difficult, but once you ...

Spatial reasoning measured in infancy predicts how children do at math at four years of age, finds a new study. It provides the earliest documented evidence for a relationship between spatial ...

Duke University Talent Identification Program researcher Jonathan Wai has an interesting column in which he questions why our educational system doesn't value spatial reasoning as much as it values ...

Kasman Suhairi teaches several students in the United States, some time ago. /ANTARA/Personal Documentation Jakarta (ANTARA) - K–12 mathematics educator Kasman Suhairi emphasized the importance of ...