SOURCE-LINKED INTELLIGENCE
OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue
We define OmniVChat (Omni Video Chat) as the task of native audio-visual dialogue between a user and an omni model. In OmniVChat, omni models directly and simultaneously receive audio and video from a user and return text. The user's query is embedded in the audio and video, without a separate text question, external captioning, or speech recognition. Direct audio-visual input reduces external latency and computation while preserving perceptual cues. However, research on OmniVChat faces two constraints: data availability and evaluation. Recordings of people using their own devices are scarce.
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T08:15:34.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.