/LLM4TS

Large Language Models for Time Series.

LLM4TS: Large Language Models for Time Series

LLM for Time Series

Methodology

  • PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting Hao, in arXiv 2022. [Paper]
  • One Fits All: Power General Time Series Analysis by Pretrained LM, in arXiv 2023. [Paper]
  • Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting, in arXiv 2023. [Paper]
  • TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series. [Paper]
  • LLM4TS: Two-Stage Fine-Tuning for Time-Series Forecasting with Pre-Trained LLMs. [Paper]

Similar Things

  • Large Language Models are Few-Shot Health Learners, in arXiv 2023. [Paper]
  • Frozen Language Model Helps ECG Zero-Shot Learning, in arXiv 2023.[Paper]

Related Fields

PreTrained Time Series

  • A Survey on Time-Series Pre-Trained Models, in arXiv 2023. [Paper]

  • Transfer learning for Time Series Forecasting. [GitHub]

  • TST: A transformer-based framework for multi- variate time series representation learning. [Paper]

  • Ti-mae: Self-supervised masked time series autoencoders. [Paper]

  • SimMTM: A Simple Pre-Training Framework for Masked Time-Series Modeling. [Paper]

  • Cost: Contrastive learning of disentangled seasonal-trend rep- resentations for time series forecasting.[Paper]

  • TS2Vec: Towards Universal Representation of Time Series. [Paper]

LLM for Recommendation Systems

  • Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5), in arXiv 2022. [Paper]
  • LLM4Rec. [GitHub]

LLM/FM for Tabular Data

  • AnyPredict: Foundation Model for Tabular Prediction, in arXiv 2023. [Paper]
  • XTab: Cross-table Pretraining for Tabular Transformers, in ICML 2023. [Paper]

LLM in Production (LLMOps)