Author

Changlian Ma

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Preprint Oct 2026

OneStreamer: Unifying Perception, Memory, and Proactive Response in Streaming Video Interaction

Streaming video LLMs must retain evidence before its relevance to future tasks is known and respond when sufficient evidence becomes available. The challenge is to form reusable factual memory without compromising real-time perception. We introduce OneStreamer, which jointly learns query-independent evidence recording...

Xiang-Yun Zeng, Yuan-Dong Yang, Zhi-Qiu Zhang et al. · 1 citation

Jul 2026

VideoChat3: Fully Open Video MLLM for Efficient and Generalist Video Understanding

This work introduces VideoChat3, a fully open, efficient, and generalist video-centric MLLM, which surpasses prior open-source models with equal or larger parameter counts with only 4B parameters and higher efficiency.

Xinhao Li, Yuhan Zhu, Xiangyun Zeng et al. · arXiv.org · 4 citations

Jul 2026

TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs

Across seven benchmarks, TimeLens2-2B outperforms all size-matched baselines on every benchmark, while the 4B and 8B variants achieve state-of-the-art performance, surpassing open-source models with up to 397B parameters.

Yu-Han Zhu, Changlian Ma, Xiangyun Zeng et al. · arXiv.org · 2 citations