Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
World Action Models are predictive-action systems that generate future states for decision-making, with designs balancing representational richness against computational constraint…
Go-with-the-Track unifies motion control and reference image compositing in video generation by using point-track embeddings with spatial-aware encoding and video diffusion transfo…
A self-supervised transfer learning approach for parking spot occupancy recognition that achieves high accuracy with minimal labeled data through two-stage training and deployment…
FlowBender is a closed-loop framework that addresses constraint satisfaction in diffusion and flow models by training networks to correct alignment errors using inference-time feed…
Grouped Query Experts (GQE) improves Transformer efficiency by selectively activating query heads based on token content while maintaining key-value cache benefits of grouped-query…
Multimodal large language models exhibit social bias driven by specific visual attributes, with fashion style and socioeconomic cues having the greatest impact on model judgments.
Large language models can be trained through reinforcement learning to develop a meta-capability enabling continuous learning and adaptation across long sequences of tasks in dynam…
CogniRoute is a schema-guided Mixture-of-Experts framework for social video question answering that improves multimodal reasoning through cognitive schema factorization and route-a…
EventVLA addresses long-horizon robotic manipulation challenges by introducing a sparse visual evidence memory framework with visual anchors and dynamic Keyframe Evidence Memory mo…
A large-scale real-world dataset called DF3DV-1K is introduced to address the lack of clean and cluttered image sets for distractor-free radiance field research, containing 1,048 s…
Analysis of FID variance across different training and sampling seeds reveals significant reproducibility issues in image generation evaluation, with retraining causing larger fluc…
QG-MIL introduces a gated transformer aggregator for multiple instance learning in medical imaging that stabilizes attention distribution and improves prediction consistency across…