YUXUAN ZHONG

Context and Diversity Matter: The Emergence of In-Context Learning in World Models

The capability of predicting environmental dynamics underpins both biological neural systems and general embodied AI in adapting to their surroundings. Yet prevailing approaches rest on static world models that falter when confronted with novel or rare configurations. We investigate in-context learn…