arXiv Artificial Intelligence

OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue

1 hour ago 21.09.2026 07:00 👁 1 views
OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue

Quick summary

arXiv:2609.21465v1 Announce Type: cross Abstract: 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. Recordi

Key takeaways

  • arXiv:2609.21465v1 Announce Type: cross Abstract: 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.

Why it matters

“OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue” highlights the need for repeatable measurement rather than a single impressive demonstration. Independent validation across datasets and clearly stated limitations determine whether a result can guide product decisions.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗