快速灵活的变点检测算法库，时序分析场景下的高效新选择。
arXiv:2608.19767v1 Announce Type: cross Abstract: Skchange is an open-source Python library for detecting structural changes in time series. It implem…
线性模型在时间序列预测中能有多强？这篇论文给出严谨评估与新结论，值得关注
arXiv:2606.27282v1 Announce Type: new Abstract: Time-series forecasting research has been moving steadily toward larger architectures, from specialize…
用LLM解锁时间序列认知推理，从模式识别迈向深层理解，为智能分析带来全新可能。
arXiv:2606.22126v1 Announce Type: new Abstract: Time series analysis has recently been coupled with Large Language Models (LLMs) to leverage their rea…
为时间序列预测量身定制大模型，指令感知主动探测方法提升预测精度与效率。
arXiv:2606.08601v1 Announce Type: new Abstract: Large Language Models (LLMs) have recently demonstrated impressive potential for time series forecasti…
LLM安全评估新突破：用时间logit可观测性检测安全失败，超越传统攻击成功率指标
arXiv:2605.29629v1 Announce Type: new Abstract: Attack Success Rate (ASR) evaluates each jailbreak with a single yes/no label at the end of generation…