arXiv 2609.21465 · eess.AS · 2026-09-18
OmniVChat: Synthesizing, Benchmarking, and Training for Native Audio-Visual Dialogue
Haolin He, Yunfei Chu, Qi Chen, Wen Huang, Yuan Feng, Muzhi Zhu, Zheqi Dai, Haoning Xu and 10 more
Qwen
Archived · 2026-09 Added on 2026-10-21
One-line takeaway
Defines native audio-visual dialogue for omni models and provides synthetic data, a benchmark and training recipes.
定义“原生音视频对话”任务，并配套合成数据、评测基准和训练方法。
Read on arXiv PDF Hugging Face discussion Code
Topics & disciplines
More on Multimodal
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- LoopVL: Recurrent Visual Intelligence ▲417
- VideoJev: System One Model for Video Understanding and Interaction ▲375
- S-Space: Exploring Spatial Workspace in Multimodal Language Models ▲270
- UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement ▲266
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-21.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.