2026
Context and Diversity Matter: The Emergence of In-Context Learning in World Models
ICLR 2026poster
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…