GitHub - zhentingqi/rStar
Oct 1, 2024 · Extensive experiments across five SLMs demonstrate rStar can effectively solve diverse reasoning problems. rStar boosts GSM8K accuracy from 12.51% to 63.91% for LLaMA2-7B, from 36.46% to 81.88% for Mistral-7B, from 74.53% to 91.13% for LLaMA3-8B-Instruct. If you find our work helpful, please consider citing it:
Microsoft Research Unveils rStar-Math: Advancing Mathematical …
3 days ago · Microsoft Research unveiled rStar-Math, a framework that demonstrates the ability of small language models (SLMs) to achieve mathematical reasoning capabilities comparable to, and in some cases ...
rStar-Math: Small LLMs Can Master Math Reasoning with Self …
Jan 8, 2025 · 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's new rStar-Math technique upgrades small models to ...
Jan 9, 2025 · Microsoft’s dual releases of Phi-4 and the rStar-Math paper suggest that compact, specialized models can provide powerful alternatives to the industry’s largest systems.
Microsoft introduces rStar-Math, an SLM for math reasoning and …
Jan 10, 2025 · 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 rStar-Math's SLMs outshines OpenAI's o1 in Math …
Jan 10, 2025 · Microsoft enhances the capabilities of small language models (SLMs) with rStar-Math, potentially surpassing OpenAI's o1 math reasoning.
Microsoft Launches rStar-Math, Achieves Top-Level Math …
Jan 9, 2025 · 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.
GitHub - microsoft/rStar
Jan 9, 2025 · We present rStar-Math to demonstrate that small language models (SLMs) can rival or even surpass the math reasoning capability of OpenAI o1-mini, without distillation from superior models. rStar-Math achieves this by exercising "deep thinking" through Monte Carlo Tree Search (MCTS), where a math policy SLM performs test-time …
Microsoft’s rStar-Math Framework Lets Small AI Models
Jan 10, 2025 · 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 …
Jan 9, 2025 · Microsoft’s dual releases of Phi-4 and rStar-Math paper suggest that compact, specialized models can provide powerful alternatives to the industry’s largest systems. Moreover, by outperforming larger competitors in key benchmarks, these models challenge the notion that bigger is always better.
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