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 等 18 人
Qwen
已归档 · 2026-09 本站收录于 2026-10-21
一句话要点
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。
Defines native audio-visual dialogue for omni models and provides synthetic data, a benchmark and training recipes.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
同主题：多模态
- MJev-Spatial: System One Spatial Intelligence via Native Attention Matching ▲560
- 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
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-21。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。