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## Further Reading
1, [**Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook**](https://arxiv.org/abs/2310.10196), in *arXiv* 2023.
1, [**Position Paper: What Can Large Language Models Tell Us about Time Series Analysis**](https://arxiv.org/abs/2402.02713), in *ICML* 2024.
**Authors**: Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang*, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen*
```bibtex
@inproceedings{jin2024position,
title={Position Paper: What Can Large Language Models Tell Us about Time Series Analysis},
author={Ming Jin and Yifan Zhang and Wei Chen and Kexin Zhang and Yuxuan Liang and Bin Yang and Jindong Wang and Shirui Pan and Qingsong Wen},
booktitle={International Conference on Machine Learning (ICML 2024)},
year={2024}
}
```
2, [**Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook**](https://arxiv.org/abs/2310.10196), in *arXiv* 2023.
[\[GitHub Repo\]](https://github.com/qingsongedu/Awesome-TimeSeries-SpatioTemporal-LM-LLM)
**Authors**: Ming Jin, Qingsong Wen*, Yuxuan Liang, Chaoli Zhang, Siqiao Xue, Xue Wang, James Zhang, Yi Wang, Haifeng Chen, Xiaoli Li (IEEE Fellow), Shirui Pan*, Vincent S. Tseng (IEEE Fellow), Yu Zheng (IEEE Fellow), Lei Chen (IEEE Fellow), Hui Xiong (IEEE Fellow)
```bibtex
@article{jin2023lm4ts,
title={Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook},
@ -129,19 +141,7 @@ Please refer to ```run_main.py```, ```run_m4.py``` and ```run_pretrain.py``` for
}
```
2, [**Position Paper: What Can Large Language Models Tell Us about Time Series Analysis**](https://arxiv.org/abs/2402.02713), in *arXiv* 2024.
**Authors**: Ming Jin, Yifan Zhang, Wei Chen, Kexin Zhang, Yuxuan Liang*, Bin Yang, Jindong Wang, Shirui Pan, Qingsong Wen*
```bibtex
@article{jin2024position,
title={Position Paper: What Can Large Language Models Tell Us about Time Series Analysis},
author={Ming Jin and Yifan Zhang and Wei Chen and Kexin Zhang and Yuxuan Liang and Bin Yang and Jindong Wang and Shirui Pan and Qingsong Wen},
journal={arXiv preprint arXiv:2402.02713},
year={2024}
}
```
3, [**Transformers in Time Series: A Survey**](https://arxiv.org/abs/2202.07125), in IJCAI 2023.
[\[GitHub Repo\]](https://github.com/qingsongedu/time-series-transformers-review)