E-commerce live streaming requires omni-modal understanding of noisy, temporally extended streams, where product facts are distributed across speech, video frames, product images, overlaid text, and user queries. We present TLive-Omni, an omni-modal understanding model tailored to live-commerce scenarios. It maps image...
Harness-Aware Training (HAT), which trains compact models to adapt to changing Harnesses through reinforcement learning in augmented environments, is proposed and deployed in Taobao Live's digital-avatar service.
T. Sun, Wen-Hao Lin, Yong-Dong Luo et al.· 1 citation
WaveZip is proposed, a joint signal-frequency-domain framework for efficient video inference that requires no task-specific training and can be seamlessly integrated into off-the-shelf LVLMs to boost inference efficiency.
Yuhui Zeng, Wang Chen, Jin-Fa Huang et al.· arXiv.org· 1 citation
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