3 papers
math.NA2026
Iterative Thresholding Pursuit with Continuation for -Regularized Sparse Recovery
Junxi Wu, Zeyu Dong, Jun-Feng Yin
Sparse recovery aims to reconstruct sparse signals from underdetermined and possibly noisy linear measurements. Existing iterative thresholding schemes are first-order…
cs.CL2026
C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World Prompts
Chenxi Qing, Junxi Wu, Zheng Liu +5
Recently, large language models (LLMs) are capable of generating highly fluent textual content. While they offer significant convenience to humans, they also introduce various risk…
cs.CE2024
Generative Pre-Trained Diffusion Paradigm for Zero-Shot Time Series Forecasting
Jiarui Yang, Tao Dai, Naiqi Li +6
In recent years, generative pre-trained paradigms such as Large Language Models (LLMs) and Large Vision Models (LVMs) have achieved revolutionary advancements and widespread real-w…