Zhenguo Li

Treating all latent tokens identically bottlenecks multimodal test-time compute—disentangling hidden-state updates into visual-grounding and high-entropy reasoning channels beats standard output-space search under matched sample budgets.

Achieve scalable multi-task robot learning without catastrophic forgetting by isolating task-specific knowledge in LoRA experts routed by a dynamic inference engine.