Search papers, labs, and topics across Lattice.
4
0
7
8
Even the best vision-language models struggle with reliable evaluation of computer-using agents, but OS-Shepherd models offer a low-cost solution that matches their performance.
Visual-OPSD achieves a remarkable 14.3x speedup while boosting accuracy by over 3 percentage points, revealing the untapped potential of reasoning in visual thought generation.
Current AI agents struggle with long-horizon professional tasks, achieving only 30% success in complex GUI workflows, revealing critical gaps in their capabilities.
OpenMobile proves that high-performing mobile agents can be trained on entirely synthetic, open-source data, closing the gap with closed-source models and enabling broader research.
