Research Papers
Hugging Face Unveils Last Translation Benchmark to Stress-Test AI Translators
The Last Translation Benchmark introduces peer-reviewed, multimodal examples that break leading translation models, alongside hand...
RoboTok: Web-Scale Data Engine Boosts Dexterous Robot Learning from Human Videos
RoboTok is an internet-scale data engine that retrieves relevant human manipulation videos from the web using a latent motion spac...
Temporal Context Routing: New Method Boosts Script-Timed Audio-Video Generation
Hugging Face researchers introduce Temporal Context Routing (TCR), a module that aligns script timestamps with the shared audio-vi...
Hugging Face Researchers Unveil Editable Visual Design: A Coding Agent Paradigm for Layered, Aesthetic Graphics
A new paradigm from Hugging Face combines vision-language models with coding agents to generate editable, layered designs with rea...
Scal3R: Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction
Hugging Face researchers introduce Scal3R, a method that improves long-video online 3D reconstruction by querying multi-reference...
Knowing When Not to Reuse: New Method Boosts Autonomous LLM Post-Training
Researchers introduce Boundary-Calibrated Intervention Transfer (BCIT), a method that selectively reuses past training evidence in...
Terminal-Universe: Turning Agent Trajectories into Scalable Training Environments
Hugging Face researchers introduce Terminal-Universe, a framework that reconstructs executable workspaces from agent trajectories,...
Hugging Face Researchers Unveil 'Compile by Training' to Turn Natural Language into Local Neural Functions
A new technique called 'compile by training' converts natural-language specifications into reusable neural functions by distilling...
Hugging Face Unveils Puffin-World: A Unified Model for 3D World Generation and Exploration
Puffin-World is a unified multimodal framework that jointly models physics, geometry, and appearance for physically consistent 3D...
One Query Enough? Hugging Face Study Rethinks Data Needs in On-Policy Distillation
A new Hugging Face paper shows that on-policy distillation (OPD) can recover most of its full-data performance using just a single...
Random Attention: KV Cache Eviction Without Scoring Matches Selective Methods
A new paper from Salesforce AI Research shows that randomly evicting cached tokens in LLM reasoning tasks performs as well as soph...
Gated DeltaNet Survives 4-Bit Quantization: New Recipe Quantizes All Layers of Hybrid 27B LLM
A new study shows that fully quantizing hybrid LLMs, including recurrent Gated DeltaNet layers, to 4-bit NVFP4 preserves accuracy...