5 papers · 1 filter
A Unified Detection Framework for AI-Related Content and Artifacts
Xifeng Zhang, Tao Hu, Yijie Peng +1
Artificial intelligence (AI) is a double-edged sword: while it has achieved remarkable success across a wide range of domains, its deployment also calls for effective oversight and…
Tail-Aware Information-Theoretic Bounds for LLM Alignment under Heavy-Tailed Rewards
Huiming Zhang, Binghan Li, Wan Tian +1
Classical information-theoretic learning bounds typically rely on KL mutual information and moment-generating-function (MGF) arguments, which are well matched to bounded or sub-Gau…
Interval-Valued Time Series Classification Using -Distance
Wan Tian, Zhongfeng Qin
In recent years, modeling and analysis of interval-valued time series have garnered increasing attention in econometrics, finance, and statistics. However, these studies have predo…
Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting
Wan Tian, Zhongfeng Qin
Modeling and forecasting interval-valued time series (ITS) have attracted considerable attention due to their growing presence in various contexts. To the best of our knowledge, th…
Adaptive Classification of Interval-Valued Time Series
Wan Tian, Zhongfeng Qin
In recent years, the modeling and analysis of interval-valued time series have garnered significant attention in the fields of econometrics and statistics. However, the existing li…