Microsoft rStar-Math's SLMs outshines OpenAI's o1 in Math …
21 hours ago · The research paper further details four rounds of self-evolution "with millions of synthesized solutions for 747k math problems," rStar-Math enhances math reasoning to state-of-the-art levels.
Microsoft introduces rStar-Math, an SLM for math reasoning and …
18 hours ago · Microsoft has developed rStar-Math, a small language model (SLM) designed for math reasoning and problem-solving. Unlike larger models, SLMs are less resource-intensive and can run on local devices. rStar-Math employs Monte Carlo Tree Search to mimic human problem-solving by breaking down problems into smaller parts.
Microsoft's new rStar-Math technique upgrades small models to ...
1 day ago · This news follows closely on the heels of the open-sourcing of Microsoft’s Phi-4 model, a smaller 14-billion-parameter ... rStar-Math works by using several different models and components to ...
Microsoft’s rStar-Math Framework Lets Small AI Models
23 hours ago · rStar-Math has achieved remarkable benchmarks in mathematical reasoning, showcasing how small AI models can rival larger systems like OpenAI’s o1-preview.
Microsoft’s new rStar-Math technique upgrades small models to …
2 days ago · Microsoft is doubling down on the potential of small language models (SLMs) with the unveiling of rStar-Math, a new reasoning technique that can be applied to small models to boost their performance on math problems with reasoning techniques — similar to, and in some cases exceeding — the performance of OpenAI’s o1-preview model.. While still in a research phase — as outlined in a ...
Microsoft introduces rStar-Math, an SLM for math reasoning and problem solving January 10 2025, by Bob Yirka Overview of rStar-Math. Credit: arXiv (2025). DOI: 10.48550/arxiv.2501.04519 A team of math and AI researchers at Microsoft Asia has designed and developed a small language model (SLM) that can be used to solve math problems.
Microsoft Launches rStar-Math, Achieves Top-Level Math …
1 day ago · 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 models like OpenAI’s o1.Instead of relying on knowledge distillation from bigger models, rStar-Math allows smaller models to …
Microsoft’s new rStar-Math technique upgrades small models to ...
2 days ago · Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More. Microsoft is doubling down on the potential of small language models (SLMs) with the unveiling of rStar-Math, a new reasoning technique that can be applied to small models to boost their performance on math problems using reasoning techniques — performance similar ...
Microsoft Boosts Small Models with rStar-Math - datagrom.com
2 days ago · January 9, 2025: Microsoft Boosts Small Models with rStar-Math - Microsoft's new rStar-Math technique enhances small language models (SLMs) using Monte Carlo Tree Search (MCTS) and self-evolution for advanced math problem-solving. It outperforms OpenAI's o1-preview model in key benchmarks, notably achieving a 90% accuracy on the MATH benchmark and excelling in the AIME.
Microsoft Collaborates with Tsinghua and Peking University to …
1 day ago · The core of rStar-Math lies in the use of Monte Carlo Tree Search, a method that simulates human "deep thinking" by gradually refining the solutions to mathematical problems to help small models self-evolve. Researchers not only applied MCTS but also required the models to provide reasoning steps in natural language along with Python code ...
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