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# [LLM Time Series Forecasting](#content)
| Task | Data | Name| LLM | Paper | Code | Publication |
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-| Paper Nums:100+ |
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| TS Forecasting | [monash](https://forecastingdata.org/) | Time-MoE | llama? | [Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts](https://arxiv.org/abs/2409.16040) | [Pytorch](https://github.com/Time-MoE/Time-MoE)
![Stars](https://img.shields.io/github/stars/Time-MoE/Time-MoE?color=critical&style=social)
![Forks](https://img.shields.io/github/forks/Time-MoE/Time-MoE?color=critical&style=social) | Arxiv 2024
| Long/Short Forecasting
Imputation
Anomaly
Classification| [monash](https://forecastingdata.org/)
Informer ... | MOMENT | ? | [MOMENT: A Family of Open Time-series Foundation Models](https://proceedings.mlr.press/v235/goswami24a.html) | [Pytorch](https://github.com/moment-timeseries-foundation-model/moment-research)
![Stars](https://img.shields.io/github/stars/moment-timeseries-foundation-model/moment-research?color=critical&style=social)
![Forks](https://img.shields.io/github/forks/moment-timeseries-foundation-model/moment-research?color=critical&style=social) | ICML 2024
| Zero TS Forecasting
probabilistic | Darts
[monash](https://forecastingdata.org/)
Informer | LLMTIME | GPT-2
llama2-70B | [Large Language Models Are Zero-Shot Time Series Forecasters](https://openreview.net/forum?id=md68e8iZK1¬eId=BYd09USAyS) | [Pytorch](https://github.com/ngruver/llmtime)
![Stars](https://img.shields.io/github/stars/ngruver/llmtime?color=critical&style=social)
![Forks](https://img.shields.io/github/forks/ngruver/llmtime?color=critical&style=social) | NIPS 2023