---
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canonical_url: "https://aidr.today/73b360ed?lang=en"
title: "TimeOmni-o1: Bidirectionally Coupling Time Series Foundation Models and LLMs for Multimodal Reasoning and Forecasting"
lang: "en"
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published_at: "2026-11-11T05:00:00.000Z"
category: "Research"
topics: ["llm"]
source_urls: ["https://arxiv.org/abs/2611.12902"]
summary: "Researchers presented TimeOmni-o1, a model that bidirectionally couples a pretrained time series foundation model and a large language model to handle both text and time series inputs and outputs."
---

# TimeOmni\-o1: Bidirectionally Coupling Time Series Foundation Models and LLMs for Multimodal Reasoning and Forecasting

> [Open the canonical story](<https://aidr.today/73b360ed?lang=en>)

**Published:** 2026-11-11T05:00:00.000Z
**Category:** Research
**Topics:** llm

## Summary

Researchers presented TimeOmni\-o1, a model that bidirectionally couples a pretrained time series foundation model and a large language model to handle both text and time series inputs and outputs\.

## Sources

- [Story source](<https://arxiv.org/abs/2611.12902>)