OSعُمان للعلوم
الباحثون

Zanlin Ni

المنشورات 2

نسخة أولية وصول مفتوح

What Makes World Action Models Generalize? An Empirical Study of Test-Time Future Modeling

Renping Zhou, Zanlin Ni, Zihao Fan وآخرون · 2026

World action models (WAMs) predict the future alongside actions during training. Due to the heavy computation cost of video denoising, whether the future must still be generated during inference is disputed: Explicit WAMs denoise it into clean frames along with every action chunk, whereas Latent WAMs discard it entirel …

نسخة أولية وصول مفتوح

DeepSeek-V4.1-Flash: Pushing the Limits of KV Cache Compression

DeepSeek-AI, Anyi Xu, B. Li وآخرون · 2026

The widespread adoption of long-horizon agents has made model workloads increasingly input-heavy. Although prior work has substantially reduced the cost of long-context computation, prefill remains computationally expensive, and large KV caches continue to strain HBM and SSD capacity and data-transfer bandwidth. Togeth …

المؤلفون المشاركون

DeepSeek-AIAnyi XuB. LiBangcai LinBing XueBingCheng XianBingzheng XuBochao WuBowei ZhangBoyi DengC. C. YuChao Jin