Keyword

zero-shot forecasting

Description: Zero-shot forecasting is a time-series prediction approach that generates forecasts for tasks or series without task-specific training examples.

Primary topic: Time Series Analysis and Forecasting (47%)

OpenAlex ID: keywords/zero-shot-forecasting

PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting

2023 · Hao Xue, Flora D. Salim · IEEE Transactions on Knowledge and Data Engineering · 305

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Chronos: Learning the Language of Time Series

2024 · Ansari, Abdul Fatir, Stella, Lorenzo, et al. · arXiv (Cornell University) · 84

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CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning

2025 · Peiyuan Liu, Hang Guo, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 80

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A decoder-only foundation model for time-series forecasting

2023 · Das, Abhimanyu, Kong, Weihao, et al. · arXiv (Cornell University) · 61

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TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

2023 · Cao, Defu, Jia, Furong, et al. · arXiv (Cornell University) · 59

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Large language models forecast patient health trajectories enabling digital twins

2025 · Nikita Makarov, Maria Bordukova, et al. · npj Digital Medicine · 57

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Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities

2025 · Hua Tang, Chong Zhang, et al. · ACM SIGKDD Explorations Newsletter · 50

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Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

2024 · Vijay Ekambaram, Arindam Jati, et al. · neural information processing systems · 50

Unified Training of Universal Time Series Forecasting Transformers

2024 · Woo, Gerald, Liu, Chenghao, et al. · arXiv (Cornell University) · 45

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From RNNs to Transformers: benchmarking deep learning architectures for hydrologic prediction

2025 · Jiangtao Liu, Chaopeng Shen, et al. · Hydrology and earth system sciences · 34

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LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting

2024 · Haoxin Liu, Zhiyuan Zhao, et al. · 33

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ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data

2025 · Chengsen Wang, Qi Qi, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 30

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ForecastPFN: Synthetically-Trained Zero-Shot Forecasting

2023 · Samuel Dooley, Gurnoor Singh Khurana, et al. · neural information processing systems · 26

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TSFM-Bench: A Comprehensive and Unified Benchmark of Foundation Models for Time Series Forecasting

2025 · Zhe Li, Xiangfei Qiu, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 23

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BEForeGAN: An image-based deep generative approach for day-ahead forecasting of building HVAC energy consumption

2024 · Yichuan X. Ma, Lawrence K. Yeung · Applied Energy · 18

Are Time Series Foundation Models Ready to Revolutionize Predictive Building Analytics?

2024 · Ozan Baris Mulayim, Pengrui Quan, et al. · ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys) · 16

General Time Transformer: an Encoder-only Foundation Model for Zero-Shot Multivariate Time Series Forecasting

2024 · Cheng Feng, Long Huang, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 13

MultiCast: Zero-Shot Multivariate Time Series Forecasting Using LLMs

2024 · Georgios Chatzigeorgakidis, Konstantinos Lentzos, et al. · IEEE International Conference on Data Engineering Workshops (ICDEW) · 13

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Tiny Time Mixers (TTMs): Fast Pre-trained Models for Enhanced Zero/Few-Shot Forecasting of Multivariate Time Series

2024 · Ekambaram, Vijay, Jati, Arindam, et al. · arXiv (Cornell University) · 12

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Time-VLM: Exploring Multimodal Vision-Language Models for Augmented Time Series Forecasting

2026 · Siru Zhong, Yuxuan Liang, et al. · CRC Press eBooks · 11

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TimePFN: Effective Multivariate Time Series Forecasting with Synthetic Data

2025 · Ege Onur Taga, Muhammed Emrullah Ildiz, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 11

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Advancing Accuracy in Energy Forecasting using Mixture-of-Experts and Federated Learning

2024 · Jonas Sievers, Thomas Blank, et al. · 11

In the beginning was the Word: LLM-VaR and LLM-ES

2025 · Daniel Traian Pele, Vlad Bolovăneanu, et al. · Expert Systems with Applications · 10

FusionSF: Fuse Heterogeneous Modalities in a Vector Quantized Framework for Robust Solar Power Forecasting

2024 · Ziqing Ma, Wenwei Wang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 10

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An Evaluation of Standard Statistical Models and LLMs on Time Series Forecasting

2024 · Rui Cao, Qiao Wang · 9

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Works count: 363

Citation count: 1,283