Research Papers
BeaconKV Cuts Reasoning-Model Memory Up to 5.8x Without Losing Accuracy
A new training-free KV cache compression method from Hugging Face researchers uses "beacon queries" to predict which past key-valu...
SceneMosaic Blends Image Priors and AI Agents to Generate Diverse 3D Indoor Scenes 24x Faster
A new Hugging Face paper introduces SceneMosaic, a hybrid framework that initializes 3D indoor scenes from learned image priors an...
Mask Forcing Boosts Autoregressive Video Diffusion Distillation
A new Hugging Face paper proposes Mask Forcing, a dual-noise masking rollout strategy that curbs mode collapse in distilled autore...
Marigold V2 Turns Diffusion Transformers into Sharper, Single-Step Depth Estimators
Huawei Bayer Lab, EPFL and University of Bologna researchers repurpose a pretrained diffusion transformer into a monocular depth e...
OpenWAM Turns World-Action Model Pretraining Into an Open, Modular Science
Hugging Face paper introduces OpenWAM, an open research stack that factorizes world-action model pretraining into composable modul...
AuK: Hugging Face Paper Unveils Open-Source Model Unifying Speech Generation and Editing
A new technical report introduces AuK, an open-source foundational model that handles speech generation and editing through natura...
Hugging Face Unveils Miles v0.1: Open-Source System for Production-Level Post-Training
Miles v0.1 is an open-source, production-ready system for large-scale reinforcement learning and post-training, supporting diverse...
GE-Act 2.0: A From-Scratch World-Action Model for Scalable Zero-Shot Robot Manipulation
Hugging Face researchers introduce GE-Act 2.0, a world-action model trained entirely from scratch on manipulation data, achieving...
DriveZero: End-to-End Autonomous Driving That Goes Beyond Human Demonstrations
Hugging Face researchers introduce DriveZero, an end-to-end autonomous driving system that combines a vision foundation model with...
Hugging Face Unveils Gander: An End-to-End Omni-Modal Agent for Real-Time Interaction
Gander is a new end-to-end framework that integrates continuous multi-modal streaming, real-time full-duplex interaction, and agen...
Hugging Face Researchers Unveil On-Policy Reverse Distillation to Surpass Weak Supervisors
A new paper from Hugging Face introduces On-Policy Reverse Distillation (OPRD), a method that lets stronger AI models learn from w...
Hugging Face Unveils NeoHorse-1: A Step Toward Recursive Self-Improvement in AI Agents
NeoHorse-1, a new family of agent-native models from Hugging Face, uses agentic post-training with intelligent routing and feedbac...