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Recommendations for the article Large Language Models Are Zero-Shot Time Series Forecasters
| Abstract | Title | Authors | Publication Date | Journal/ Conference | Citation count | Highest h-index |
|---|---|---|---|---|---|---|
| visibility_off | Chronos: Learning the Language of Time Series | Abdul Fatir Ansari, Lorenzo Stella, Caner Turkmen, Xiyuan Zhang, Pedro Mercado, Huibin Shen, Oleksandr Shchur, Syama Sundar Rangapuram, Sebastian Pineda Arango, Shubham Kapoor, Jasper Zschiegner, Danielle C. Maddix, Michael W. Mahoney, Kari Torkkola, Andrew Gordon Wilson, Michael Bohlke-Schneider, Yuyang Wang | 2024-03-12 | ArXiv | 222 | 18 |
| visibility_off | Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models | Junwoo Park, Hyuck Lee, Dohyun Lee, Daehoon Gwak, Jaegul Choo | 2025-05-31 | ArXiv | 0 | 5 |
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| visibility_off | From Text to Time? Rethinking the Effectiveness of the Large Language Model for Time Series Forecasting | Xinyu Zhang, Shanshan Feng, Xutao Li | 2025-04-09 | ArXiv | 0 | 11 |
| visibility_off | Are Language Models Actually Useful for Time Series Forecasting? | Mingtian Tan, Mike A. Merrill, Vinayak Gupta, Tim Althoff, Tom Hartvigsen | 2024-06-22 | ArXiv | 67 | 7 |
| visibility_off | Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting | Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen, Yufeng Chen | 2024-12-16 | ArXiv | 0 | 7 |
| visibility_off | Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting | Tianyi Yin, Jingwei Wang, Yunlong Ma, Han Wang, Chenze Wang, Yukai Zhao, Min Liu, Weiming Shen | 2025-04-11 | DBLP | 0 | 7 |
| Abstract | Title | Authors | Publication Date | Journal/Conference | Citation count | Highest h-index |