Jiakang Yuan

Efficiency in GUI agents is as crucial as task success, with recent advancements converging on innovative strategies like selective reading and hybrid execution models.

A training-free multi-agent system for UAV image understanding not only surpasses leading models in accuracy but also addresses fundamental reasoning failures in MLLM applications.

Achieving trillion-parameter performance with just 35 billion parameters by scaling agent horizons reveals a new frontier in model efficiency.