NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning
arXiv:2606.27826v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) are increasingly deployed as embodied planners in egocentric environments, where task success requires not only achieving instructed goals but also acting in socially appropriate ways. While explicit goals may render certain actions optimal, implicit social norms often impose hidden constraints. Existing evaluations typically focus on explicit goal achievement or direct norm knowledge, seldom assessing wheth
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Computer Science > Artificial Intelligence arXiv:2606.27826 (cs) [Submitted on 26 Jun 2026] Title:NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning Authors:Shiyun Zhao, Xinwei Song, Tianyu Guo, Xiaomeng Gao, Mingyuan Liu, Xu Han, Yuanyuan Zhang, Zhenliang Zhang, Xue Feng, Bo Dai View a PDF of the paper titled NormAct: A Benchmark for Hidden Social Norm Compliance in Embodied Planning, by Shiyun Zhao and 9 other authors View PDF HTML (experimental) Abstract:Multimodal large language models (MLLMs) are increasingly deployed as embodied planners in egocentric environments, where task success requires not only achieving instructed goals but also acting in socially appropriate ways.
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