Author

Yinan He

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Open access Sep 2026

Efficient Multimodal Instruction Tuning Through Iterative Data Selection and Augmentation Under Fixed Data Budgets

Efficient multimodal instruction tuning requires reducing both training data volume and computational cost without substantially sacrificing downstream performance. Existing data selection methods can remove redundancy but cannot repair imperfect supervision or supplement under-represented capabilities. We propose SANe...

Han Lin, Yi Wang, Yi-Nan He et al. · Electronics · 0 citations

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