3 papers
cs.CV2026
Variational Feature Compression for Model-Specific Representations
Zinan Guo, Zihan Wang, Chuan Yan +3
As deep learning inference is increasingly deployed in shared and cloud-based settings, a growing concern is input repurposing, in which data submitted for one task is reused by un…
stat.ME2026
Time Series Gaussian Chain Graph Models
Qin Fang, Xinghao Qiao, Zihan Wang
Time series graphical models have recently received considerable attention for characterizing (conditional) dependence structures in multivariate time series. In many applications,…
cs.LG2026
RAGEN-2: Reasoning Collapse in Agentic RL
Zihan Wang, Chi Gui, Xing Jin +13
RL training of multi-turn LLM agents is inherently unstable, and reasoning quality directly determines task performance. Entropy is widely used to track reasoning stability. Howeve…