2 papers
cs.AI2026
AgentBoundary: Counterfactual Evaluation of Safety in Tool-Using LLM Agents
Tianzhuo Yang, Zirui Mi, Yantao Huang +4
Safety alignment for large language models (LLMs) in conversational settings is largely framed around whether to answer or refuse a request. In agentic settings, however, the same…
cs.AI2026
MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models
Tianzhuo Yang, Zihan Shen, Zirui Mi +7
Action-conditioned world models are increasingly used as scalable simulators for robot learning, yet current evaluations provide limited evidence that their predictions are reliabl…