2 papers
cs.CL2026
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
cs.CV2026
VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction
Longbin Ji, Xiaoxiong Liu, Junyuan Shang +4
Recent advances in video generation have been dominated by diffusion and flow-matching models, which produce high-quality results but remain computationally intensive and difficult…