Author

Xiaoyan Cong

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Preprint Sep 2026

FuseReg: Regularizing Layer Fusion Mitigates the Reconstruction-Generation Gap in Representation Autoencoders

Representation autoencoders (RAEs) reuse features from a pretrained visual encoder as reconstruction and diffusion latents, integrating strong visual representations into image generation. However, RAEs still need to decide which encoder layers form the shared latent space for the generator and pixel decoder. This choi...

Hong-Yang Du, Yun-Fei Xie, Jun-Jie Ye et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Can LLMs Predict the Future? A Brier Score Analysis of Prediction Markets

The RMF benchmark contains 3,000 resolved binary questions across nine domains, and results show why forecasting scores should be interpreted alongside simple probability baselines and question composition: under this protocol, newer versions or higher model tiers do not consistently produce more accurate probabilities...

Yuan-Bo Li, Ze-Kun Li, Xiao-Yan Cong · 0 citations

Jul 2026

Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention

This work proposes Ms.Forcing, an efficient streaming video generation paradigm that adapts spatial granularity to each state's noise level and introduces Homogeneous-Noise-Level DMD, which assembles each fake video from clean predictions sharing the same source noise level, thereby reducing the mismatch between DMD tr...

Zekun Li, Xiaoyan Cong, Hongyu Li et al. · arXiv.org · 0 citations