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Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.
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author
updated
2026-02-26 17:24:31
raw text
Multimodal Situational Safety Multimodal Situational Safety Kaiwen Zhou* 1 , Chengzhi Liu* 1 , Xuandong Zhao 2 , Anderson Compalas 1 , Dawn Song 2 , Xin Eric Wang† 1 , 1 University of California, Santa Cruz, 2 University of California, Berkeley Paper Code Data Figure 1. Illustration of multimodal situational safety. The model must judge the safety of the user's query or instruction based on the visual context and adjust their answer accordingly. Given an unsafe visual context, the model should remind the user of the potential risk instead of directly answering the user's query. However, current MLLMs struggle to achieve this in most unsafe situations. Abstract Multimodal Large Language Models (MLLMs) are rapidly evolving, demonstrating impressive capabilities as multimodal assistants that interact with both humans and their environments. However, this increased sophistication introduces significant safety concerns. In this paper, we ...
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