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...
A production-oriented extension of X-Dub that combines task-adaptive post-training with task-aware few-step distillation that improves lip-sync consistency, identity consistency, and visual quality over X-Dub and largely retains the Teacher's generation quality and audiovisual synchronization.
Large language models deployed as personalized assistants must reason over long, evolving interaction histories. However, in long-term dialogue reasoning, relevant evidence is scattered across sessions, preferences may be revised over time, and standard long-context training fails to address these challenges under data...
Na-En Xu, Wan-Qing Cui, Yi-Bo Hu et al.· 0 citations
Decoupled-Live-ProsodyJudge (D-LPJ), a cost-effective pairwise evaluator distilled from Gemini into Qwen3-Omni, and a novel span-local GRPO strategy that applies normalized advantages strictly to their corresponding rationale spans.
Zi-Fan Guan, Long-Yu Lu, Ju-Nan Zhang et al.· 0 citations
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
This work proposes AptAvatar, a 14B-parameter long-form audio-driven avatar generation framework that delivers fast and expressive inference, and introduces Endpoint-Anchored Distribution Distillation, a dedicated Anchor Score Estimator trained on the trajectory-endpoint distribution defined from a frozen pretrained 4-...
Hengyuan Zhang, Jing-Na Sun, Mei-Guang Jin et al.· arXiv.org· 1 citation
Results show that \method preserves stable appearance across prompt-conditioned segments and strong audio-visual synchronization under autoregressive generation, accelerating autoregressive inference without pipeline-specific retraining.
Qijun Gan, Chen-Wei Zhang, Mei-Guang Jin et al.· arXiv.org· 0 citations
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