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# One-Shot-CFT: Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem
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<p align="center">
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<a href="https://github.com/TIGER-AI-Lab/
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<a href="https://arxiv.org/abs/
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<a href="https://huggingface.co/datasets/TIGER-Lab/
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<a href="https://huggingface.co/collections/TIGER-Lab/
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<a href="https://tiger-ai-lab.github.io/
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</p>
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# One-Shot-CFT: Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem
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<p align="center">
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<a href="https://github.com/TIGER-AI-Lab/One-Shot-CFT" target="_blank">π» Code</a> |
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<a href="https://arxiv.org/abs/" target="_blank">π Paper</a> |
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<a href="https://huggingface.co/datasets/TIGER-Lab/One-Shot-CFT-Data" target="_blank">π Dataset</a> |
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<a href="https://huggingface.co/collections/TIGER-Lab/one-shot-cft-683fbb4d2bcf698dbea8fb21" target="_blank">π€ Model</a> |
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<a href="https://tiger-ai-lab.github.io/One-Shot-CFT/" target="_blank">π Project Page</a>
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</p>
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