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Study Reveals How Understanding and Generation Truly Synergize in Unified Multimodal Models
New research from Hugging Face explores when visual understanding and generation reinforce each other in unified multimodal models...
DroneCATS: Small Open Models Fly Well but Fail at Protocol, New Benchmark Shows
A new benchmark, DroneCATS, evaluates multimodal LLMs as drone controllers, revealing that small open models often navigate better...
Hugging Face: Self-Hosted LLM with GRPO Experts Merged via SLERP Beats 7x Larger Model
A new research paper from Hugging Face shows that a smaller self-hosted LLM, trained with separate GRPO experts merged via SLERP,...
Qwen-Drive-1.0: A Vision-Language Foundation Model for Autonomous Driving
Hugging Face researchers introduce Qwen-Drive-1.0, a vision-language foundation model that unifies 3D perception, visual question...
H3-World: Turning Language Understanding into Precise World Control
Hugging Face researchers introduce H3-World, a framework that adapts the 33B MiniMax-H3 video generator into an interactive world...
Hi-Q: Evidence-Guided Query Refinement Boosts Multi-Hop QA Accuracy
Hugging Face researchers introduce Hi-Q, a framework that dynamically refines multi-hop queries into hierarchical trees based on c...
Hugging Face's ZimaBlue: Scaling Video Pretraining Boosts Zero-Shot Robot Manipulation
ZimaBlue, a new framework from Hugging Face, learns generalizable world action models from massive egocentric video, improving zer...
SMELT: Looping MoE Transformers Cuts Training FLOPs by Up to 18%
A new Hugging Face study introduces SMELT, a recipe that loops the middle layers of sparse Mixture-of-Experts Transformers twice,...
Hugging Face Unveils UI-Venus-2: A Unified Multimodal GUI Agent for Reliable Digital Automation
UI-Venus-2 is a general-purpose multimodal GUI agent that unifies reasoning and action loops across mobile, web, and desktop envir...
StudentSim: Training Personalized AI Student Simulators from Sparse Data
Hugging Face researchers introduce StudentSim, a framework that trains personalized student simulators from sparse data, outperfor...
Anthropic Unveils Enterprise Frontier Safeguards for Zero Data Retention with Enhanced Security
Anthropic introduces Enterprise Frontier Safeguards (EFS), combining zero data retention with advanced misuse detection, allowing...
Anthropic Unveils Claude Fable 5.1 and Mythos 5.1: Advanced Coding and Research Models
Anthropic introduces Claude Fable 5.1 and Claude Mythos 5.1, the same model with different safeguards, offering cutting-edge codin...