KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning 事件

KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning arXiv:2605.30002v1 Announce Type: new Abstract: Cross-domain multimodal time series forecasting is a challenging task, requiring models to integrate precise numerical comprehension, cross-domain semantic understanding, and effective multimodal fusion. Existing approaches either build Time Series Foundation Models (TSFMs) from scratch or leverage pretrained Large Language Models (LLMs). However, TSFMs often overlook seman