SOURCE-LINKED INTELLIGENCE
Multimodal Duplex Interaction Agent
In this work, we present Gander, a native multimodal duplex interaction model that builds on MiniCPM-o 4.5 and is further adapted for realtime interaction with an asynchronous agent loop. In contrast to conventional turn based systems, Gander continuously processes streaming user inputs, enabling full-duplex interaction in both everyday conversations and complex workflow agent scenarios. Users can interrupt an ongoing response, while the model can proactively provide intermediate feedback or ask follow up questions. To natively support these capabilities, Gander adopts two key architectural de
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T16:22:23.000Z
First collected: 2026-09-20T20:02:11.508Z. This is not the publication date.