This work studies the challenges of preventing unsafe behavior from persisting and enabling recovery when failures occur through a controlled testbed of stateful authorization tasks, where fixed LLM editors optimize executable agent components and independent traces record their effects.
Yun-Bei Zhang, Janet Wang, Saiyue Lyu et al.· 0 citations
Can structured text replace vision for diagram reasoning? A wrong answer after textualization can arise because the representation omits information the question needs, or because the solver fails to use information that is present. We introduce a diagnostic protocol to distinguish these explanations. Using the same so...
Yun-Bei Zhang, Janet Wang, J. Hamm et al.· 0 citations
Multi-agent systems derive their capabilities from sharing evidence, delegating tasks, and combining information across agents. The same process creates a safety problem: contributions that are admissible in isolation can jointly enable a prohibited use. Blocking every sensitive action avoids disclosure but defeats the...
Yun-Bei Zhang, Saiyue Lyu, Janet Wang et al.· 0 citations
A mechanistic analysis of the VLM model's internal attention patterns shows that a simple describe-then-decide prompting strategy increases vision attention by 30-40% during generation, and task-specific fine-tuning improves dermatology classification but reduces cross-domain medical question-answering performance in t...
Janet Wang, Yun-Bei Zhang, Xiao Wang et al.· 0 citations
Robots must often continue a task after a target moves, the viewpoint shifts, or an obstacle appears, even though their earlier observations and committed actions reflect the previous scene. Many simulation robustness benchmarks fix external conditions at reset, leaving this temporal challenge underexamined. We introdu...
Yun-Bei Zhang, Zi-Jian Jin, Yuan-Zhe Liu et al.· 0 citations
An intervention-aware clinical world model that represents each patient with a structured latent state and evolves it through time-ordered post-intervention events is proposed that represents each patient with a structured latent state and evolves it through time-ordered post-intervention events.
Y. Chung, Ying-Shuo Liu, Abboud Hassan et al.· 0 citations
This comprehensive survey formally defines the CTTA problem, analyzes the diverse continual domain shift patterns that characterize different evaluation protocols, and proposes a hierarchical taxonomy that categorizes existing methods into three families: optimization-based strategies (entropy minimization, pseudo-labe...
