3 papers
cs.AI2026
Saber: An Efficient Sampling with Adaptive Acceleration and Backtracking Enhanced Remasking for Diffusion Language Model
Yihong Dong, Zhaoyu Ma, Xue Jiang +10
Diffusion language models (DLMs) are emerging as a compelling alternative to the dominant autoregressive paradigm, offering inherent advantages in parallel generation and bidirecti…
cs.AI2026
Efficient Cross-Architecture Knowledge Transfer for Large-Scale Online User Response Prediction
Yucheng Wu, Yuekui Yang, Hongzheng Li +6
Deploying new architectures in large-scale user response prediction systems incurs high model switching costs due to expensive retraining on massive historical data and performance…
cs.LG2025
CAdam: Confidence-Based Optimization for Online Learning
Shaowen Wang, Anan Liu, Jian Xiao +9
Modern recommendation systems frequently employ online learning to dynamically update their models with freshly collected data. The most commonly used optimizer for updating neural…