Research Papers
New CORD Adapter Preserves Top-1 Predictions in Post-Hoc Calibration
Researchers introduce CORD, a post-fit adapter that repairs calibrated probability vectors to exactly preserve original top-1 pred...
Frame Selection Beats Compression in Long-Video AI Models, Study Finds
A new controlled study from Hugging Face shows that which frames a long-video model selects matters far more than how much it comp...
WorldReward: A Unified Vision-Language Reward Model for Camera-Conditioned World Models
Researchers introduce WorldReward, a vision-language reward model that unifies action-consistency and visual-quality evaluation fo...
PACE: New Dataset and Framework to Help AI Assistants Detect Hidden User Conflicts
Hugging Face researchers introduce PACE, a dataset for evaluating whether personalized AI assistants can identify latent constrain...
RealSWE: Realistic User Requests Cut Coding Agent Performance by 6.4 Points
A new benchmark from Hugging Face reveals that coding agents perform significantly worse on realistic, casual user requests compar...
DRACO: Dynamic Rubrics Boost Long-Horizon Agent Training Without Verifiers
A new method, DRACO, dynamically generates rubrics and redistributes trajectory-level scores into per-step advantages for reinforc...
Hugging Face's CORE Distills Reranker Reasoning into Embedding Models for Better Compositional Retrieval
CORE improves compositional reasoning in multimodal embedding models by distilling ranking knowledge from a cross-attentive rerank...
LatentStream: A New Framework for Streaming Video Understanding via Progressive Latent Memory
Researchers introduce LatentStream, a progressive latent working memory framework that shifts streaming video understanding from e...
Principia Benchmark Exposes Major Physics Gaps in Video Generation Models
A new benchmark, Principia, tests video generators on Newtonian physics using calibration-independent relational consistency, find...
Environment Evolution: A New Method to Keep Terminal Agents Learning as They Improve
Researchers propose 'environment evolution,' an off-policy method that incrementally increases task difficulty to provide continuo...
AutoTraceGT: Grounded Theory Meets AI to Decode Agent Behavior at Scale
Hugging Face researchers introduce AutoTraceGT, a multi-agent pipeline that automates grounded theory coding on agent trajectories...
FlashRender: Few-Step Generative Rendering Achieves 25x Speedup with Camera Control
FlashRender introduces a few-step generative rendering framework that retakes a source video along a target camera trajectory in s...