Kongzi is proposed, a language model for historical understanding and reasoning that combines continued pre-training on historical corpora, supervised fine-tuning, and fact-enhanced reinforcement learning that improves the mean answer scores of both model sizes and their CMMLU-Chinese-History accuracy.
Jia-Shu Yang, Ning Wang, Yian Zhao et al.· arXiv.org· 4 citations
Autoencoders are the core component of latent video generative models, compressing high-dimensional videos into compact latent spaces for downstream generation. However, existing video autoencoders are primarily optimized for pixel-level reconstruction, providing limited supervision for learning structured latent repre...
Chao-Fan Gan, Yian Zhao, Shi-Jie Li et al.· 0 citations
MiniWorld is presented, a reproducible framework for training streaming video world models from scratch that adopts a chunk-wise non-decreasing noise schedule and two-stage continued training to improve temporal modeling and stability and will facilitate future research on video world modeling.
Yian Zhao, Ruo-Chong Zheng, Hongcan Guo et al.· 0 citations
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