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Hugging Face Trending Papers
Code Coin Cognition LLC
11 episodes
3 days ago
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 enthusiasts.
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Technology
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All content for Hugging Face Trending Papers is the property of Code Coin Cognition LLC and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 enthusiasts.
Show more...
Technology
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Episode 3: Swarms, Tiny Robot Policies & HuMo
Hugging Face Trending Papers
8 minutes 40 seconds
1 month ago
Episode 3: Swarms, Tiny Robot Policies & HuMo

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 models both fast and state-of-the-art on robotics tasks (arXiv:2509.09372 PDF), and

(3) HuMo’s unified generator coordinating text, reference images, and audio for people-centric video with strong identity + lip-sync (arXiv:2509.08519 PDF). Subscribe for crisp takes on what was done, why it matters, and where it might go next.

Hugging Face Trending Papers
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 enthusiasts.