$$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting$

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$\textbf{S}^2$ IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

International Conference on Machine Learning (ICML), 2024

9 March 2024

ArXiv (abs)PDF HTML Github (11932★)

Papers citing "$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting"

10 / 10 papers shown

SEMPO: Lightweight Foundation Models for Time Series Forecasting

188

22 Oct 2025

A Causality-Aware Spatiotemporal Model for Multi-Region and Multi-Pollutant Air Quality Forecasting

Junxin Lu

Shiliang Sun

200

25 Sep 2025

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting

236

17 Aug 2025

Causal Graph Fuzzy LLMs: A First Introduction and Applications in Time Series Forecasting

Felipe Augusto Rocha da Silva

Adriano Alonso Veloso

F. G. Guimarães

AI4TS AI4CE

241

22 Jul 2025

Prioritizing Alignment Paradigms over Task-Specific Model Customization in Time-Series LLMs

199

13 Jun 2025

Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment

292

19 May 2025

ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data

352

15 May 2025

Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge DistillationIEEE International Conference on Data Engineering (ICDE), 2025

566

04 May 2025

TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-VariationInternational Conference on Learning Representations (ICLR), 2025

334

10 Mar 2025

NuwaTS: a Foundation Model Mending Every Incomplete Time Series

392

24 May 2024

S2\textbf{S}^2S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

Papers citing "$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting"

S2\textbf{S}^2S2IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

Papers citing "$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting"

$\textbf{S}^2$ IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting

$\textbf{S}^2$ IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting