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Hugging Face Unveils Mobius-v0: Decoupling Knowledge and Reasoning for Efficient AI
Mobius-v0, a new foundation model architecture from Hugging Face, separates global memory from iterative reasoning modules, achiev...
New Benchmark Reveals AI Video Detectors Fail on Crisis Content
A new benchmark, RA-Bench, shows that current AI-generated video detectors fail to generalize across realistic crisis-related vide...
RibAssist 3D: Selective Biplanar Rib-Fracture Detection and 3D Localization from CT Projections
A new open-source research prototype, RibAssist 3D, pairs fractures across orthogonal CT projections for accurate 3D localization,...
PixSDS: Fixing VAE-Induced Pixel Drift in Latent Score Distillation for Cleaner Text-to-3D
New research from Hugging Face identifies a root cause of noisy artifacts in latent score distillation sampling (SDS) and introduc...
Hybrid Pipeline Cuts Gender Bias in English-Romanian Machine Translation by 40 Points
Researchers propose a hybrid pipeline combining LLM-based gender classification with tag-aware neural translation, improving gende...
TailBooster: New Framework Boosts Extreme-Event Prediction in Air Transport
Hugging Face researchers introduce TailBooster, a dual-layer generative framework that synthesizes operationally valid extreme air...
CW-BASS v2: Saturation-Aware Pseudo-Label Selection for Semi-Supervised Segmentation
A new method, CW-BASS v2, adapts pseudo-label selection to the saturated confidence of foundation-model teachers, improving semi-s...
Inaudible Low-Frequency Attacks Can Cripple Audio-Language Models, New Study Warns
Researchers propose a black-box red-teaming method using inaudible low-frequency waveforms to expose vulnerabilities in audio-lang...
AI Agent Refactors 717k-Line Codebase Without Human Review: A Specification-First Case Study
A new case study shows an AI coding agent successfully dismantling a core architectural invariant across 189 files in a 717k-line...
New RL Method Teaches LLMs When to Stop and Refuse Futile Reasoning
Researchers introduce CaRL, a reinforcement learning approach that aligns LLM behavior with capability boundaries, reducing futile...
SKILLER: RL Framework Cuts Inference Costs for Small Language Models
Hugging Face researchers introduce SKILLER, a natural-language-driven reinforcement learning framework that automatically generate...
OmniScientist: An Omni-Modal AI Scientist That Reasons Directly from Raw Evidence
Hugging Face researchers introduce OmniScientist, an end-to-end AI scientist that autonomously conducts multidisciplinary research...