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cs.CV2026
Stage-adaptive Token Selection for Efficient Omni-modal LLMs
Zijie Xin, Jie Yang, Ruixiang Zhao +4
The unified audio-visual understanding capability of omni-modal large language models (om-LLMs) comes at the high cost of processing tens of thousands of visual and audio tokens th…
cs.CV2026
OmniPro: A Comprehensive Benchmark for Omni-Proactive Streaming Video Understanding
Ruixiang Zhao, Jie Yang, Zijie Xin +4
Omni-proactive streaming video understanding, i.e., autonomously deciding when to speak and what to say from continuous audio-visual streams, is an emerging capability of omni-moda…
cs.CV2026
SAVE: Speech-Aware Video Representation Learning for Video-Text Retrieval
Ruixiang Zhao, Zhihao Xu, Bangxiang Lan +3
For video-text retrieval, the use of CLIP has been a de facto choice. Since CLIP provides only image and text encoders, this consensus has led to a biased paradigm that entirely ig…