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Hugging Face Paper Unveils PolyOCR-Venus, a Unified OCR Foundation Model Family
PolyOCR-Venus unifies text recognition, grounding, document parsing, information extraction, and OCR reasoning in a single instruc...
RSI-Anything Uses World Models to Drive Recursive Self-Improvement Across Domains
A new Hugging Face paper introduces RSI-Anything, a domain-general framework built on JEPA-Anything that leverages predictive worl...
Hugging Face Paper Tests Whether AI Agents Can Learn Their Way to the Top in Game Competitions
A new Hugging Face paper formalizes Adversarial Heuristic Learning (AHL), where AI agents refine executable game policies while mo...
SepGen Unifies Multi-Stem Audio-Video Separation and Generation in One Model
A new research paper introduces SepGen, which extends a pretrained audio-video generator to produce video, a mixed soundtrack, and...
Work2Skill Turns Human GUI Demos Into Reusable Skills for Computer-Use Agents
Hugging Face paper introduces Work2Skill, a framework that records human desktop GUI demonstrations and induces reusable agent ski...
SoftwareGym Synthesizes 182 Apps to Train Computer-Use Agents
Hugging Face researchers introduce SoftwareGym, an automated pipeline that synthesizes runnable GUI software environments to train...
Reflex Teaches Humanoid Robots to Catch Thrown Boxes Using Only Egocentric Vision
A new three-stage framework from Hugging Face researchers enables humanoid robots to reactively catch thrown boxes using whole-bod...
DiffusionART Cuts Diffusion RL Training Costs by Up to 12x, Researchers Say
A new paper introduces DiffusionART, a diffusion reinforcement learning method that removes hidden forward-reverse consistency for...
Hugging Face Paper Reveals 'S-Space,' an Internal Spatial Workspace Inside Multimodal AI Models
A new paper on Hugging Face identifies S-Space, an intrinsic linear subspace where multimodal language models encode object coordi...
SynthSelf Enables Continual Learning for Small Language Models
A new Hugging Face paper introduces Synthetic Self-Distillation (SynthSelf), a method that lets small language models acquire new...
SoloQ Brings Calibration-Free 4-Bit Quantization to Diffusion Language Models
A new Hugging Face paper introduces SoloQ, a calibration-free quantization framework for diffusion large language models that pres...
EmbodiedCLBench: New Benchmark Tests Whether Embodied Agents Can Truly Learn Continually
Researchers introduce EmbodiedCLBench, described as the first benchmark in embodied simulation for evaluating continual learning i...