Microsoft's rStar-Math paper claims that 🤏 ~7B models can match the math skills of o1 using clever train- and test-time techniques. You can now download their prompt templates from Hugging Face !
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Microsoft's rStar-Math paper claims that 🤏 ~7B models can match the math skills of o1 using clever train- and test-time techniques. You can now download their prompt templates from Hugging Face !
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📏 The paper introduces rStar-Math, which claims to rival OpenAI o1's math reasoning capabilities by integrating Monte Carlo Tree Search (MCTS) with step-by-step verified reasoning trajectories.
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📏 The paper introduces rStar-Math, which claims to rival OpenAI o1's math reasoning capabilities by integrating Monte Carlo Tree Search (MCTS) with step-by-step verified reasoning trajectories.
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🤖 A Process Preference Model (PPM) enables fine-grained evaluation of intermediate steps, improving training data quality.
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🤖 A Process Preference Model (PPM) enables fine-grained evaluation of intermediate steps, improving training data quality.
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🧪 The system underwent four rounds of self-evolution, progressively refining both the policy and reward models to tackle Olympiad-level math problems—without GPT-4-based data distillation.
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🧪 The system underwent four rounds of self-evolution, progressively refining both the policy and reward models to tackle Olympiad-level math problems—without GPT-4-based data distillation.
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💾 While we wait for the release of code and datasets, you can already download the prompts they used from the HF Hub!
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💾 While we wait for the release of code and datasets, you can already download the prompts they used from the HF Hub!
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Details and links here 👇
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Details and links here 👇
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Prompt-templates docs: 
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Prompt-templates docs: 
https://moritzlaurer.github.io/prompt_templates/
https://moritzlaurer.github.io/prompt_templates/
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Templates on the hub: 
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Templates on the hub: 
https://huggingface.co/datasets/MoritzLaurer/rstar-math-prompts
MoritzLaurer/rstar-math-prompts
dataset
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https://huggingface.co/datasets/MoritzLaurer/rstar-math-prompts
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Prompt-templates collection: 
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Prompt-templates collection: 
https://huggingface.co/collections/MoritzLaurer/prompt-templates-6776aa0b0b8a923957920bb4
MoritzLaurer/prompt-templates-6776aa0b0b8a923957920bb4
collection
resource
https://huggingface.co/collections/MoritzLaurer/prompt-templates-6776aa0b0b8a923957920bb4
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Paper: 
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Paper: 
https://arxiv.org/pdf/2501.04519
https://arxiv.org/pdf/2501.04519
link
Microsoft's rStar-Math paper claims that 🤏 ~7B models can match the math skills of o1 using clever train- and test-time techniques. You can now download their prompt templates from Hugging Face !
 
📏 The paper introduces rStar-Math, which claims to rival OpenAI o1's math reasoning capabilities by integrating Monte Carlo Tree Search (MCTS) with step-by-step verified reasoning trajectories.
🤖 A Process Preference Model (PPM) enables fine-grained evaluation of intermediate steps, improving training data quality.
🧪 The system underwent four rounds of self-evolution, progressively refining both the policy and reward models to tackle Olympiad-level math problems—without GPT-4-based data distillation.
💾 While we wait for the release of code and datasets, you can already download the prompts they used from the HF Hub!
 
Details and links here 👇
Prompt-templates docs: https://moritzlaurer.github.io/prompt_templates/
Templates on the hub: https://huggingface.co/datasets/MoritzLaurer/rstar-math-prompts
Prompt-templates collection: https://huggingface.co/collections/MoritzLaurer/prompt-templates-6776aa0b0b8a923957920bb4
Paper: https://arxiv.org/pdf/2501.04519
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