Update README.md

README.md

@@ -24,7 +24,7 @@ Some other nice llm for time-series repositories:
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 | Paper Nums:100+ | <img width=150/> | <img width=220/>  |   |   | |   <img width=300/> |
 | 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)  <br>![Stars](https://img.shields.io/github/stars/Time-MoE/Time-MoE?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/Time-MoE/Time-MoE?color=critical&style=social)  | Arxiv 2024
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+| TS Forecasting |  Darts <br> [monash](https://forecastingdata.org/)  <br> Informer  |   LLMTIME |  GPT-2 <br> llama2-70B |  [Large Language Models Are Zero-Shot Time Series Forecasters](https://openreview.net/forum?id=md68e8iZK1&noteId=BYd09USAyS) | [Pytorch](https://github.com/ngruver/llmtime)  <br>![Stars](https://img.shields.io/github/stars/ngruver/llmtime?color=critical&style=social) <br>![Forks](https://img.shields.io/github/forks/ngruver/llmtime?color=critical&style=social)  | NIPS 2023
 
 # [Conferences](#content)