ML Research Hub
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Advancing research in Machine Learning – practical insights, tools, and techniques for researchers.

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PretrainZero: Reinforcement Active Pretraining

📝 Summary:
PretrainZero is a reinforcement active learning framework that pretrains large models on unlabeled general corpora using RL. It significantly improves general reasoning abilities and benchmark performance, breaking the verification data-wall for artificial general intelligence.

🔹 Publication Date: Published on Dec 3

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.03442
• PDF: https://arxiv.org/pdf/2512.03442

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For more data science resources:
https://t.me/DataScienceT

#ReinforcementLearning #ActiveLearning #AGI #Pretraining #MachineLearning
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Active Video Perception: Iterative Evidence Seeking for Agentic Long Video Understanding

📝 Summary:
Active Video Perception AVP improves long video understanding by actively seeking query-relevant evidence. It uses an iterative plan-observe-reflect process, acquiring compact evidence directly from pixels. This achieves higher accuracy with reduced computational cost.

🔹 Publication Date: Published on Dec 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2512.05774
• PDF: https://arxiv.org/pdf/2512.05774

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For more data science resources:
https://t.me/DataScienceT

#VideoUnderstanding #ActiveLearning #ComputerVision #AIResearch #DeepLearning