Qiyue Zhao

Despite advancements in static image understanding, models falter in tracking dynamic world states over time, exposing critical gaps in spatial reasoning.

Visual degradations can cripple the spatial reasoning abilities of even state-of-the-art MLLMs, but targeted finetuning can restore—and even surpass—human-level performance.