Author

Ziwei Liu

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Preprint Aug 2026

Visual Representation Matters: Exploiting Temporal Differences in Video-to-Audio Generation

This work introduces TD-V2A, which leverages temporal differences (TD) as the key representation that distinguishes V2A from I2A, enriching visual conditioning with minimal architectural modification and significantly improves end-to-end V2A generation quality, even outperforming dedicated V2A representations such as c...

Zehua Chen, Junyou Wang, Yuxuan Jiang et al. · 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

Preprint Aug 2026

AURORA-LM: Autoencoding Unified Representation for Continuous-Latent Diffusion Language Modeling

AURORA-LM is introduced, a continuous-latent diffusion language model that separates the construction of a decodable text representation from the modeling of its distribution, and achieves the strongest performance among evaluated continuous and diffusion-based language models on OpenWebText free generation and XSum su...

Jiajun Liang, Yu-Ling Liao, Yu-Kang Cao et al. · 2 citations