Rui-Xun Liu

Embodied agents improve on complex tasks by recombining learned skills, but their ability to extract value from additional experience saturates, failing to scale with learning samples.

Multi-modal models fail to maintain coherent memory across video streams, revealing fundamental weaknesses in their memory architectures.