Summary of A Survey Of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model, by Jiexia Ye and Weiqi Zhang and Ke Yi and Yongzi Yu and Ziyue Li and Jia Li and Fugee Tsung
A Survey of Time Series Foundation Models: Generalizing Time Series Representation with Large Language Model
by Jiexia Ye, Weiqi Zhang, Ke Yi, Yongzi Yu, Ziyue Li, Jia Li, Fugee Tsung
First submitted to arxiv on: 3 May 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the potential of large language foundation models to tackle multiple time series challenges simultaneously. Recent successes in cross-task transferability, zero-shot/few-shot learning, and decision-making explainability have sparked interest in adapting these models for time series analysis. The study surveys existing works from three dimensions: Effectiveness, Efficiency, and Explainability, examining how they devise tailored solutions for unique time series challenges. Additionally, the paper provides a domain taxonomy to track advancements and extensive resources, including datasets and open-source libraries. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Time series data are all around us, making it super important to analyze them correctly! The current models can only do one specific task well, but they’re not very good at doing many tasks. That’s why some smart people have been trying to use large language foundation models (like the ones that can translate languages) to help with time series analysis too. This paper looks at what other researchers have done in this area and how they made it work. It also gives a special framework for looking at these studies and makes sure we keep track of all the different areas where people are making progress. |
Keywords
» Artificial intelligence » Few shot » Time series » Transferability » Zero shot
