Youtu-VL Revolution: How a 4B-Parameter VLM Masters Vision-Centric Tasks Without Extra Modules

Youtu-VL: Breaking the Limits of Lightweight Vision-Language Models What Problem Does This Model Solve? Traditional vision-language models (VLMs) over-rely on textual processing, reducing visual signals to passive inputs and failing to handle fine-grained vision tasks. Youtu-VL innovates through VLUAS technology, making visual signals active autoregressive supervision targets and truly enabling efficient processing of vision-centric tasks. Why Vision-Language Models Need Reinvention? Current VLMs treat visual features merely as input conditions, neglecting the richness of visual information. This forces models to add extra task modules for tasks like image segmentation or depth estimation. Youtu-VL changes this paradigm by integrating visual signals into …