[2606.14777] JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence

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Computer Science > Computer Vision and Pattern Recognition

arXiv:2606.14777 (cs)

[Submitted on 10 Jun 2026]

Title:JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence

Authors:Dingyu Yao, Junhao Zhou, Chenxu Yang, Chuanyu Qin, Haowen Hou, Zheming Liang, Congcong Wang, Yuhang Cao, Shenglong Ye, Shuai Xie, Shuhuan Gu, Haoyang Huang, Qingyi Si, Nan Duan, Jiaqi Wang<br>View a PDF of the paper titled JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence, by Dingyu Yao and 14 other authors

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Abstract:Many moments in the real world do not wait for a user to ask. A fire starts on a security monitor, an expression flickers across a video call, or a product a viewer wants flashes by in a livestream. Yet today's large models remain mostly turn-based by design: they answer only when addressed, and even video-call apps that appear interactive still operate as question-answer systems, reacting only when polled or prompted. We argue for a different paradigm: a model that is present in the world like a person. It continuously watches what is happening now, decides on its own whether to speak or stay silent, interacts in real time, and delegates to a background model when the problem is hard. To advance interaction models and their adoption across domains, we make two fully open-sourced contributions. First, we release JoyAI-VL-Interaction, an 8B-scale, vision-first VL-interaction model. The model makes the response decision internally, choosing each second to stay silent, respond, or delegate to a background model, and it excels at vision-triggered responsiveness and time awareness. We pair it with a transferable training recipe, from which capabilities we never trained for emerge, such as guiding a shopper through changing app screens or improvising a lecture from a slide deck. Second, we release a complete, deployable system built around that model. The system streams any ongoing video into the model, making it genuinely present in the world. All other components are pluggable, including ASR/TTS modules, memory, visualization UI, and a background brain that can connect to any API or agent. Across six real-world scenarios, human raters prefer JoyAI-VL-Interaction over the in-app video-call assistants of Doubao and Gemini by a wide margin. To our knowledge, this is the first open, vision-driven interaction model released together with its training recipe, data, and complete deployable system.

Subjects:

Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI)

Cite as:<br>arXiv:2606.14777 [cs.CV]

(or<br>arXiv:2606.14777v1 [cs.CV] for this version)

https://doi.org/10.48550/arXiv.2606.14777

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arXiv-issued DOI via DataCite

Submission history<br>From: Chenxu Yang [view email]<br>[v1]<br>Wed, 10 Jun 2026 03:43:50 UTC (14,024 KB)

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