In today’s episode of Hugging Face Trending Papers, we explore three cutting-edge ideas reshaping how we interact with AI and research.First, we dive into Paper2Agent, a framework that transforms static research papers into interactive AI agents, making findings more transparent and usable. Next, we look at Scaling Agents via Continual Pre-training, which pushes the boundaries of agent reliability by teaching them through lifelong learning. Finally, we cover Documenting Machine Learning with AI Partners, a vision of AI tools that act as collaborative lab partners to capture, explain, and even co-author machine learning workflows.Listen in for benchmarks, methods, and real-world implications — and discover how these papers could change the way we do science.Papers discussed:Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI AgentsScaling Agents via Continual Pre-trainingDocumenting Machine Learning with AI Partners

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