✨One Sample to Rule Them All: Extreme Data Efficiency in RL Scaling

📝 Summary:
This paper demonstrates extreme data efficiency in RL for LLMs. A single, carefully designed training sample, called polymath learning, significantly enhances multidisciplinary reasoning, outperforming traditional methods that rely on large datasets. The findings suggest sample quality and design...

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03111
• PDF: https://arxiv.org/pdf/2601.03111

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For more data science resources:
✓ https://t.iss.one/DataScienceT

#ReinforcementLearning #LLMs #DataEfficiency #AI #DeepLearning

✨One Sample to Rule Them All: Extreme Data Efficiency in RL Scaling

📝 Summary:
This paper introduces polymath learning, demonstrating that a single, carefully designed training sample can significantly boost language model reasoning across multiple scientific disciplines. This sample engineering approach outperforms training with larger datasets, emphasizing quality over qu...

🔹 Publication Date: Published on Jan 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.03111
• PDF: https://arxiv.org/pdf/2601.03111

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For more data science resources:
✓ https://t.iss.one/DataScienceT

#AI #MachineLearning #LLM #DataEfficiency #SampleEngineering