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Hugging Face Paper Unravels the Physics of Multi-Turn Long-Horizon Planning for AI Agents
A new research paper introduces a controlled environment to systematically study how foundation model agents acquire, shape, and i...
Hugging Face Unveils Oxygen-TryOn: Open-Source Foundation Model for Any-Item Virtual Try-On
Oxygen-TryOn is a fashion-native foundation model that enables photorealistic virtual try-on of any item—from clothing to accessor...
OmniVAE: Jointly Trained Audio-Video VAE Achieves Cross-Modal Alignment for Synchronized Generation
Hugging Face researchers introduce OmniVAE, a jointly trained audio-video VAE that uses contrastive learning and semantic distilla...
Sol-Attn: Training-Free Sparse Attention Speeds Up Video Generation by 2x+
Sol-Attn introduces a training-free dynamic sparse attention method that unifies routing, computation, and approximation in a sing...
Hugging Face Researchers Expose Failure Mode in Diffusion Distillation with Classifier-Free Guidance
A new study reveals that naive matching of guided predictions in on-policy diffusion distillation can lead to 'Negative Branch Asy...
Hugging Face Researchers Propose 'Data Pyramid' to Organize Embodied AI Data Sources
A new paper from Hugging Face introduces the Embodied Data Pyramid, a taxonomy organizing five complementary data sources for embo...
StateAct: Program State, Not Pixels, Boosts Computer-Use Agents by 9x Cheaper
Hugging Face's StateAct uses program state instead of screenshots for computer-use agents, achieving state-of-the-art on OSWorld 2...
JarvisHub: Open-Source Canvas-Native Harness for Long-Horizon Multimodal Creative Agents
Hugging Face introduces JarvisHub, an open-source harness that reimagines creative AI as a canvas-native agent system, enabling lo...
MAPD: Multi-Agent Protocol Distillation Bridges Proprietary-to-Open-Source Gap in Agentic Search
A new framework, Multi-Agent Protocol Distillation (MAPD), combines distillation and reinforcement learning to transfer reasoning...
Hugging Face Unveils Kimi K3: A 2.8T Parameter Open-Source AI Model
Hugging Face introduces Kimi K3, a 2.8 trillion parameter Mixture-of-Experts model with 104 billion activated parameters, native v...
Hugging Face Survey Unifies Progress Reward Modeling for Robotic Learning
A new comprehensive survey from Hugging Face provides a unified framework for progress reward modeling in robotics, addressing the...
Anthropic CEO Clarifies Stance: No Ban on Open-Weights Models
Anthropic CEO Dario Amodei states the company has never advocated for banning open-weights models, instead proposing targeted meas...