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Survey maps a framework for real-time interactive omni AI

AI summary

Researchers from the University of Illinois Urbana-Champaign, Carnegie Mellon University, and Columbia University proposed a survey framework that links omni intelligence with omni interactivity. Covering 349 works, it connects streaming representation, model architecture, training, deployment, and evaluation while examining interruption recovery, response timing, and the trade-off between fast responses and complex reasoning. The survey also discusses multi-rate interactive intelligence, foreground-background coordination, and six dimensions for evaluating interactive behavior.

In-depth insight

The framework organizes research on how multimodal AI systems can continuously perceive, respond, handle interruptions, and revise stale work across the full technical stack.

新智元 2026-10-29 11:46 北京

新智元报道  

AI已经能听、能看、能回答。

但面对持续变化的对话,它如何一边回应,一边保持理解与推理?

当你让AI分析屏幕上的图表,又突然补充「等一下,看右边那条曲线」,系统需要停止旧回答、更新目标,并检查后台计算是否仍然有效。

#University of Illinois Urbana-Champaign#Carnegie Mellon University#Columbia University#Awesome-Interactive-Omni#Omni Intelligence#Omni Interactivity#Multi-Rate Interactive Intelligence

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