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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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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 9: Boosting AI Problem Solving: Tiny Networks and Early Experience Learning
Hugging Face Trending Papers
4 minutes 31 seconds
3 weeks ago
Episode 9: Boosting AI Problem Solving: Tiny Networks and Early Experience Learning

In this episode of Hugging Face Trending Papers, we discuss three exciting AI research papers: "Less is More: Recursive Reasoning with Tiny Networks", "Agent Learning via Early Experience", and "Paper2Video: Automatic Video Generation from Scientific Papers".


## Papers Discussed
1. **[Less is More: Recursive Reasoning with Tiny Networks](https://arxiv.org/pdf/2510.04871)**: This paper introduces a Tiny Recursive Model that significantly improves accuracy on hard question-answer problems, using a simpler recursive reasoning approach and beating Large Language Models on complex tasks.
2. **[Agent Learning via Early Experience](https://arxiv.org/pdf/2510.08558)**: This research paper presents a new paradigm called "early experience", where AI agents learn from their own actions. The approach improved effectiveness and out-of-domain generalization in diverse environments.
3. **[Paper2Video: Automatic Video Generation from Scientific Papers](https://arxiv.org/pdf/2510.05096)**: This paper presents Paper2Video, a multi-agent framework designed to automate the labor-intensive process of generating academic presentation videos from scientific papers.

## Episode Links-

[Paper 1: Less is More: Recursive Reasoning with Tiny Networks](https://arxiv.org/pdf/2510.04871)-

[Paper 2: Agent Learning via Early Experience](https://arxiv.org/pdf/2510.08558)-

[Paper 3: Paper2Video: Automatic Video Generation from Scientific Papers](https://arxiv.org/pdf/2510.05096)

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.