Empowering Time Series Forecasting with LLM-Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Yeh, Chin-Chia Michael, Lai, Vivian, Saini, Uday Singh, Fan, Xiran, Fan, Yujie, Wang, Junpeng, Dai, Xin, Zheng, Yan |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
by: Yeh, Chin-Chia Michael, et al.
Published: (2024)
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
by: Sun, Jiarui, et al.
Published: (2025)
by: Sun, Jiarui, et al.
Published: (2025)
Understanding LLM Evaluator Behavior: A Structured Multi-Evaluator Framework for Merchant Risk Assessment
by: Wang, Liang, et al.
Published: (2026)
by: Wang, Liang, et al.
Published: (2026)
TREASURE: The Visa Payment Foundation Model for High-Volume Transaction Understanding
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
by: Yeh, Chin-Chia Michael, et al.
Published: (2025)
Has Your Pretrained Model Improved? A Multi-head Posterior Based Approach
by: Aboagye, Prince, et al.
Published: (2024)
by: Aboagye, Prince, et al.
Published: (2024)
Revealing the Power of Masked Autoencoders in Traffic Forecasting
by: Sun, Jiarui, et al.
Published: (2023)
by: Sun, Jiarui, et al.
Published: (2023)
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies
by: Der, Audrey, et al.
Published: (2024)
by: Der, Audrey, et al.
Published: (2024)
TimeSAF: Towards LLM-Guided Semantic Asynchronous Fusion for Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)
by: Zhang, Fan, et al.
Published: (2026)
Visual Attention Exploration in Vision-Based Mamba Models
by: Wang, Junpeng, et al.
Published: (2025)
by: Wang, Junpeng, et al.
Published: (2025)
A Systematic Evaluation of Generated Time Series and Their Effects in Self-Supervised Pretraining
by: Der, Audrey, et al.
Published: (2024)
by: Der, Audrey, et al.
Published: (2024)
Bridging the Last Mile of Time Series Forecasting with LLM Agents
by: Liao, Yuhua, et al.
Published: (2026)
by: Liao, Yuhua, et al.
Published: (2026)
CheatAgent: Attacking LLM-Empowered Recommender Systems via LLM Agent
by: Ning, Liang-bo, et al.
Published: (2025)
by: Ning, Liang-bo, et al.
Published: (2025)
TimeXer: Empowering Transformers for Time Series Forecasting with Exogenous Variables
by: Wang, Yuxuan, et al.
Published: (2024)
by: Wang, Yuxuan, et al.
Published: (2024)
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation
by: Yang, Silin, et al.
Published: (2024)
by: Yang, Silin, et al.
Published: (2024)
SHINE: Sequential Hierarchical Integration Network for EEG and MEG
by: Xu, Xiran, et al.
Published: (2026)
by: Xu, Xiran, et al.
Published: (2026)
Time-TK: A Multi-Offset Temporal Interaction Framework Combining Transformer and Kolmogorov-Arnold Networks for Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)
by: Zhang, Fan, et al.
Published: (2026)
TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
by: Liu, Chenxi, et al.
Published: (2024)
by: Liu, Chenxi, et al.
Published: (2024)
CP Loss: Channel-wise Perceptual Loss for Time Series Forecasting
by: Zha, Yaohua, et al.
Published: (2026)
by: Zha, Yaohua, et al.
Published: (2026)
FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series
by: Jalori, Gunjan, et al.
Published: (2025)
by: Jalori, Gunjan, et al.
Published: (2025)
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMs
by: Fan, Haoran, et al.
Published: (2025)
by: Fan, Haoran, et al.
Published: (2025)
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting
by: Yao, Yueyang, et al.
Published: (2025)
by: Yao, Yueyang, et al.
Published: (2025)
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting
by: Wang, Haoxin, et al.
Published: (2023)
by: Wang, Haoxin, et al.
Published: (2023)
Preserving Individuality while Following the Crowd: Understanding the Role of User Taste and Crowd Wisdom in Online Product Rating Prediction
by: Wang, Liang, et al.
Published: (2024)
by: Wang, Liang, et al.
Published: (2024)
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network
by: Liang, Ziran, et al.
Published: (2025)
by: Liang, Ziran, et al.
Published: (2025)
L-Drive: Beyond a Single Mapping-Latent Context Drives Time Series Forecasting
by: Zhang, Fan, et al.
Published: (2026)
by: Zhang, Fan, et al.
Published: (2026)
Diffusion Models for Time Series Forecasting: A Survey
by: Su, Chen, et al.
Published: (2025)
by: Su, Chen, et al.
Published: (2025)
A Time Series Multitask Framework Integrating a Large Language Model, Pre-Trained Time Series Model, and Knowledge Graph
by: Hao, Shule, et al.
Published: (2025)
by: Hao, Shule, et al.
Published: (2025)
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting
by: Fan, Wei, et al.
Published: (2024)
by: Fan, Wei, et al.
Published: (2024)
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
by: Wang, Xinlei, et al.
Published: (2024)
by: Wang, Xinlei, et al.
Published: (2024)
Retrieval-Augmented Purifier for Robust LLM-Empowered Recommendation
by: Ning, Liangbo, et al.
Published: (2025)
by: Ning, Liangbo, et al.
Published: (2025)
KairosAgent: Agentic Time Series Forecasting with Fused Semantic Reasoning
by: Feng, Kun, et al.
Published: (2026)
by: Feng, Kun, et al.
Published: (2026)
Simulating Human-Like Learning Dynamics with LLM-Empowered Agents
by: Yuan, Yu, et al.
Published: (2025)
by: Yuan, Yu, et al.
Published: (2025)
IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
by: Wang, Hua, et al.
Published: (2025)
by: Wang, Hua, et al.
Published: (2025)
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
by: Jin, Ming, et al.
Published: (2023)
by: Jin, Ming, et al.
Published: (2023)
Cradle: Empowering Foundation Agents Towards General Computer Control
by: Tan, Weihao, et al.
Published: (2024)
by: Tan, Weihao, et al.
Published: (2024)
Conversational Time Series Foundation Models: Towards Explainable and Effective Forecasting
by: Cao, Defu, et al.
Published: (2025)
by: Cao, Defu, et al.
Published: (2025)
PESD-TSF: A Period-Aware and Explicit Structured Decomposition Framework for Long-Term Time Series Forecasting
by: Wang, Hua, et al.
Published: (2026)
by: Wang, Hua, et al.
Published: (2026)
Similar Items
-
TiCT: A Synthetically Pre-Trained Foundation Model for Time Series Classification
by: Yeh, Chin-Chia Michael, et al.
Published: (2025) -
UltraSTF: Ultra-Compact Model for Large-Scale Spatio-Temporal Forecasting
by: Yeh, Chin-Chia Michael, et al.
Published: (2025) -
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data
by: Yeh, Chin-Chia Michael, et al.
Published: (2024) -
Matrix Profile for Anomaly Detection on Multidimensional Time Series
by: Yeh, Chin-Chia Michael, et al.
Published: (2024) -
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers
by: Sun, Jiarui, et al.
Published: (2025)