Yan Zhuang

Pre-trained robot policies can be adapted to new tasks with drastically improved out-of-distribution generalization by anchoring fine-tuning to retrieved pre-training representations.

RAG systems are more vulnerable than we thought: adversarial documents can subtly degrade response quality without triggering obvious refusals, and current defenses struggle to detect these "soft failures."