Yuyan Bu

Over-privileged tool selection is alarmingly common in LLM agents, often triggered by transient failures, raising critical safety concerns in autonomous decision-making.

Agent deception in autonomous systems is not just a theoretical concern; it’s a pressing reality that can undermine trust in AI applications.

Achieve multilingual LLM safety alignment without expensive language-specific training data by enforcing cross-lingual consistency during monolingual alignment.