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A novel framework enables robust event extraction across diverse domains without requiring exhaustive label sets, achieving impressive cross-domain generalization.
A single model can now perform complex event extraction tasks across multiple domains without sacrificing specificity or scalability.
WOLF-VLA enables humanoid robots to understand and execute complex locomotion tasks from natural language, bridging a critical gap in robotic manipulation and locomotion.