TimeOmni-o1: bidirectionally coupling time series foundation models and LLMs for multimodal reasoning and forecasting
Read the original at arxiv.org→arXiv:2611.12902v1 Announce Type: new Abstract: Time series from real-world systems are often accompanied by text, such as a report on an event that affects them. Two common tasks on these series are understanding,...
Original headline: "TimeOmni-o1: Bidirectionally Coupling Time Series Foundation Models and LLMs for Multimodal Reasoning and Forecasting"
Coverage timeline
- Nov 11, 05:00 UTC arXiv cs.CL lead source TimeOmni-o1: Bidirectionally Coupling Time Series Foundation Models and LLMs for Multimodal Reasoning and Forecasting
- Nov 11, 05:00 UTC arXiv cs.LG StatPrompt-LLM: A Lightweight Statistical Refinement for Foundation-Style Time-Series Forecasting