Papers, modelos e datasets em alta no Hugging Face, além do blog oficial — com leitura editorial em português.
TurboServe is a specialized serving system for streaming video generation that addresses session state management and dynamic resource allocation challenges through integrated sche…
A comprehensive corpus and access layer for U.
A Vision-Language-Action foundation model for robotic manipulation achieves generalization through unified alignment across representation, motion, and behavior dimensions, enablin…
Introducing LifeSciBench, an expert-authored, expert-reviewed benchmark for evaluating how AI systems handle real-world life science research tasks and decisions.
Embodied robots learn reusable skills through self-directed play and exploration, then apply these skills to improve performance on downstream tasks without additional training.
A comprehensive analysis of narrative structures in large-scale language model training data reveals measurable, multidimensional narrative patterns that vary across different cont…
PhySciBench benchmark reveals limited performance of current LLM agents in physical science research, leading to development of DelveAgent framework that improves accuracy through…
A 3D brain MRI generative model uses a masked-autoencoder tokenizer to create clinically informative embeddings that support both medical task performance and controlled image gene…
An object-centric residual reinforcement learning framework improves real-world vision-language-action model robustness through simulation-trained corrective policies that transfer…
Act2Answer protocol evaluates embodied vision-language-action models by having agents answer questions through physical actions, revealing knowledge retention and generalization pa…
Current memory agents lack reliable shared institutional deployment due to challenges in balancing utility, access control, and forgetting across multiple principals with diverse a…
Trajectory-Augmented Policy Optimization (TAPO) enhances large language model reasoning by creating explicit corrective trajectories that preserve erroneous reasoning while incorpo…