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Hugging Face Trending Papers

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Stay ahead in AI with Hugging Face Trending Papers — your daily digest of trending arXiv research. Hosts Vikas and Roger break down the most talked-about papers in machine learning, LLMs, generative AI, and robotics in just 5–6 minutes. Clear, conversational insights on problems, methods, benchmarks, and real-world impact — no jargon overload. Perfect for researchers, engineers, students, and AI e... more

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Today we cover three standout arXiv releases shaping vision, language, and evaluation. First, PANORAMA surveys the rise of omnidirectional, 360° perception for embodied AI—why standard pinhole vision isn’t enough, where datasets and models fall short... more

In today’s 5–6 minute roundup, we cover:

(1) SAPO’s decentralized RL that shares rollouts across a swarm for cheaper, faster LM post-training (arXiv:2509.08721 PDF),

(2) VLA-Adapter’s “Bridge Attention” that makes small vision-language-action mod... more

In this episode, we cover three HuggingFace trending AI papers shaping the future of alignment, training, and creativity.

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How models can reason over boundaries to stick to instructions (arXiv:2509.14760)

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How populations of models can evol... more

Smarter computer agents, better reasoning, and robot manipulation breakthroughs.

Today’s Papers

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ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data

🔗 arXiv:2509.15221

➡️ Large dataset across 6 OSs and 3 task domains; c... more

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