Copertina

Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter View

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Niu, Peisong, Zhou, Tian, Wang, Xue, Sun, Liang, Jin, Rong
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Attention as Robust Representation for Time Series Forecasting
di: Niu, PeiSong, et al.
Pubblicazione: (2024)

Utilizing Strategic Pre-training to Reduce Overfitting: Baguan -- A Pre-trained Weather Forecasting Model
di: Niu, Peisong, et al.
Pubblicazione: (2025)

CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting
di: Xue, Wang, et al.
Pubblicazione: (2023)

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
di: Hu, Yifan, et al.
Pubblicazione: (2025)

Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
di: Zhao, Yanjun, et al.
Pubblicazione: (2024)

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
di: Zhang, YiFan, et al.
Pubblicazione: (2024)

Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
di: Liu, Peiyuan, et al.
Pubblicazione: (2024)

Unlocking the Power of LSTM for Long Term Time Series Forecasting
di: Kong, Yaxuan, et al.
Pubblicazione: (2024)

Baguan-TS: A Sequence-Native In-Context Learning Model for Time Series Forecasting with Covariates
di: Yang, Linxiao, et al.
Pubblicazione: (2026)

SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
di: Ding, Hang, et al.
Pubblicazione: (2025)

Enhancing AI-Based Tropical Cyclone Track and Intensity Forecasting via Systematic Bias Correction
di: Niu, Peisong, et al.
Pubblicazione: (2026)

Integrating Weather Foundation Model and Satellite to Enable Fine-Grained Solar Irradiance Forecasting
di: Ma, Ziqing, et al.
Pubblicazione: (2026)

Time-Prompt: Integrated Heterogeneous Prompts for Unlocking LLMs in Time Series Forecasting
di: Wang, Zesen, et al.
Pubblicazione: (2025)

Maximizing the Impact of Deep Learning on Subseasonal-to-Seasonal Climate Forecasting: The Essential Role of Optimization
di: Guo, Yizhen, et al.
Pubblicazione: (2024)

$\textbf{S}^2$IP-LLM: Semantic Space Informed Prompt Learning with LLM for Time Series Forecasting
di: Pan, Zijie, et al.
Pubblicazione: (2024)

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
di: Jin, Ming, et al.
Pubblicazione: (2023)

What if Tomorrow is the World Cup Final? Counterfactual Time Series Forecasting with Textual Conditions
di: Gu, Shuqi, et al.
Pubblicazione: (2026)

Output Scaling: YingLong-Delayed Chain of Thought in a Large Pretrained Time Series Forecasting Model
di: Wang, Xue, et al.
Pubblicazione: (2025)

WaveTuner: Comprehensive Wavelet Subband Tuning for Time Series Forecasting
di: Wang, Yubo, et al.
Pubblicazione: (2025)

Forecasting with Guidance: Representation-Level Supervision for Time Series Forecasting
di: Wang, Jiacheng, et al.
Pubblicazione: (2026)

Target Concept Tuning Improves Extreme Weather Forecasting
di: Ren, Shijie, et al.
Pubblicazione: (2026)

Bi-Mamba+: Bidirectional Mamba for Time Series Forecasting
di: Liang, Aobo, et al.
Pubblicazione: (2024)

Why Attention Fails: The Degeneration of Transformers into MLPs in Time Series Forecasting
di: Liang, Zida, et al.
Pubblicazione: (2025)

Deep Coupling Network For Multivariate Time Series Forecasting
di: Yi, Kun, et al.
Pubblicazione: (2024)

Empowering Time Series Forecasting with LLM-Agents
di: Yeh, Chin-Chia Michael, et al.
Pubblicazione: (2025)

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives
di: Dong, Sixun, et al.
Pubblicazione: (2025)

ProtoTS: Learning Hierarchical Prototypes for Explainable Time Series Forecasting
di: Peng, Ziheng, et al.
Pubblicazione: (2025)

Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting
di: Zhou, Ziyu, et al.
Pubblicazione: (2025)

LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization
di: Niu, Wenzhe, et al.
Pubblicazione: (2025)

CombinationTS: A Modular Framework for Understanding Time-Series Forecasting Models
di: Wang, Xiaorui, et al.
Pubblicazione: (2026)

SEMPO: Lightweight Foundation Models for Time Series Forecasting
di: He, Hui, et al.
Pubblicazione: (2025)

Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering
di: Niu, Yiming, et al.
Pubblicazione: (2025)

WaveRoRA: Wavelet Rotary Route Attention for Multivariate Time Series Forecasting
di: Liang, Aobo, et al.
Pubblicazione: (2024)

RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
di: Cheng, Hao, et al.
Pubblicazione: (2024)

Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting
di: Jin, Ming, et al.
Pubblicazione: (2023)

PENGUIN: Enhancing Transformer with Periodic-Nested Group Attention for Long-term Time Series Forecasting
di: Sun, Tian, et al.
Pubblicazione: (2025)

CoRA: Boosting Time Series Foundation Models for Multivariate Forecasting through Correlation-aware Adapter
di: Cheng, Hanyin, et al.
Pubblicazione: (2026)

Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting
di: Zhou, Ziyu, et al.
Pubblicazione: (2025)

Time Tracker: Mixture-of-Experts-Enhanced Foundation Time Series Forecasting Model with Decoupled Training Pipelines
di: Liang, Aobo, et al.
Pubblicazione: (2025)

U-Cast: Learning Hierarchical Structures for High-Dimensional Time Series Forecasting
di: Ni, Juntong, et al.
Pubblicazione: (2025)