AI assistants are increasingly used as advisors to guide decisions, yet little is known about how people evaluate such advice when the advisor's underlying intent conflicts with their interests. We examine how covert misalignment shapes choices in a randomized experiment (N = 233 participants; 699 observations) in whic...
Sahand Sabour, June M. Liu, Siyang Liu et al.· Proceedings of the National...· 1 citation
Motivated by the observation that safety signals from unsafe text processing can be transferred, safety-awareness representation transfer (SRT) is proposed, a lightweight direction-refinement method that mitigates cross-modal safety drift with a frozen MLLM backbone.
Tian-Qi Xiao, Shiyao Cui, Ming-Hao Zhang et al.· 0 citations
This paper develops a comprehensive where-what-how taxonomy that characterizes where situational illusions occur, what targets they take, and how they arise, and introduces MSIBench, a benchmark designed to assess the discrimination, understanding, and reasoning capabilities of MLLMs under situational illusions.
Zhi-Ming Yang, Zhuoxi Xiong, Dong-Lin Zhou et al.· 0 citations
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