Retrieval-Augmented Generation with Covariate Time Series
Fuente:
arXiv
Saved in:
| Main Authors: | Liang, Kenny Ye, Pei, Zhongyi, Zhang, Huan, Liu, Yuhui, Song, Shaoxu, Wang, Jianmin |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series
by: Lin, Jiafeng, et al.
Published: (2026)
by: Lin, Jiafeng, et al.
Published: (2026)
Thoth: Mid-Training Bridges LLMs to Time Series Understanding
by: Lin, Jiafeng, et al.
Published: (2026)
by: Lin, Jiafeng, et al.
Published: (2026)
DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
by: Li, Jinpeng, et al.
Published: (2026)
by: Li, Jinpeng, et al.
Published: (2026)
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation
by: Yang, Silin, et al.
Published: (2024)
by: Yang, Silin, et al.
Published: (2024)
Predictive Prefetching for Retrieval-Augmented Generation
by: Zhang, Wuyang, et al.
Published: (2026)
by: Zhang, Wuyang, et al.
Published: (2026)
Retrieval Augmented Time Series Forecasting
by: Tire, Kutay, et al.
Published: (2024)
by: Tire, Kutay, et al.
Published: (2024)
Agentic Retrieval-Augmented Generation for Time Series Analysis
by: Ravuru, Chidaksh, et al.
Published: (2024)
by: Ravuru, Chidaksh, et al.
Published: (2024)
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster
by: Ning, Kanghui, et al.
Published: (2025)
by: Ning, Kanghui, et al.
Published: (2025)
Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
by: Liu, Yong, et al.
Published: (2026)
by: Liu, Yong, et al.
Published: (2026)
SafeDriveRAG: Towards Safe Autonomous Driving with Knowledge Graph-based Retrieval-Augmented Generation
by: Ye, Hao, et al.
Published: (2025)
by: Ye, Hao, et al.
Published: (2025)
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models
by: Tan, Zhen, et al.
Published: (2024)
by: Tan, Zhen, et al.
Published: (2024)
Attention as Robust Representation for Time Series Forecasting
by: Niu, PeiSong, et al.
Published: (2024)
by: Niu, PeiSong, et al.
Published: (2024)
GAM-RAG: Gain-Adaptive Memory for Evolving Retrieval in Retrieval-Augmented Generation
by: Wang, Yifan, et al.
Published: (2026)
by: Wang, Yifan, et al.
Published: (2026)
Efficient Test-Time Retrieval Augmented Generation
by: Yin, Hailong, et al.
Published: (2025)
by: Yin, Hailong, et al.
Published: (2025)
UniCA: Unified Covariate Adaptation for Time Series Foundation Model
by: Han, Lu, et al.
Published: (2025)
by: Han, Lu, et al.
Published: (2025)
HM-RAG: Hierarchical Multi-Agent Multimodal Retrieval Augmented Generation
by: Liu, Pei, et al.
Published: (2025)
by: Liu, Pei, et al.
Published: (2025)
AirRAG: Autonomous Strategic Planning and Reasoning Steer Retrieval Augmented Generation
by: Feng, Wenfeng, et al.
Published: (2025)
by: Feng, Wenfeng, 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)
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model
by: Cao, Defu, et al.
Published: (2024)
by: Cao, Defu, et al.
Published: (2024)
R^2AG: Incorporating Retrieval Information into Retrieval Augmented Generation
by: Ye, Fuda, et al.
Published: (2024)
by: Ye, Fuda, et al.
Published: (2024)
Aligning Extraction and Generation for Robust Retrieval-Augmented Generation
by: Song, Hwanjun, et al.
Published: (2025)
by: Song, Hwanjun, et al.
Published: (2025)
CITRAS: Covariate-Informed Transformer for Time Series Forecasting
by: Yamaguchi, Yosuke, et al.
Published: (2025)
by: Yamaguchi, Yosuke, et al.
Published: (2025)
Influence Guided Context Selection for Effective Retrieval-Augmented Generation
by: Deng, Jiale, et al.
Published: (2025)
by: Deng, Jiale, et al.
Published: (2025)
Iterative Multimodal Retrieval-Augmented Generation for Medical Question Answering
by: Chen, Xupeng, et al.
Published: (2026)
by: Chen, Xupeng, et al.
Published: (2026)
Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine
by: Yang, Rui, et al.
Published: (2024)
by: Yang, Rui, et al.
Published: (2024)
Retrieval-Augmented Test Generation: How Far Are We?
by: Shin, Jiho, et al.
Published: (2024)
by: Shin, Jiho, et al.
Published: (2024)
Efficient Privacy-Preserving Retrieval Augmented Generation with Distance-Preserving Encryption
by: Ye, Huanyi, et al.
Published: (2026)
by: Ye, Huanyi, et al.
Published: (2026)
Evaluation of Retrieval-Augmented Generation: A Survey
by: Yu, Hao, et al.
Published: (2024)
by: Yu, Hao, et al.
Published: (2024)
Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
by: Liu, Peiyang, et al.
Published: (2026)
by: Liu, Peiyang, et al.
Published: (2026)
Exposing Privacy Risks in Graph Retrieval-Augmented Generation
by: Liu, Jiale, et al.
Published: (2025)
by: Liu, Jiale, et al.
Published: (2025)
AtomicRAG: Atom-Entity Graphs for Retrieval-Augmented Generation
by: Hou, Yanning, et al.
Published: (2026)
by: Hou, Yanning, et al.
Published: (2026)
Benchmarking Retrieval-Augmented Generation in Multi-Modal Contexts
by: Liu, Zhenghao, et al.
Published: (2025)
by: Liu, Zhenghao, et al.
Published: (2025)
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning
by: Wang, Yu, et al.
Published: (2025)
by: Wang, Yu, et al.
Published: (2025)
Factorize to Generalize: Retrieval-Guided Invariant-Dynamic Decomposition for Time Series Forecasting
by: Chi, Jinjin, et al.
Published: (2026)
by: Chi, Jinjin, et al.
Published: (2026)
Retrieval-Augmented Generation for Electrocardiogram-Language Models
by: Song, Xiaoyu, et al.
Published: (2025)
by: Song, Xiaoyu, et al.
Published: (2025)
Regression Models Meet Foundation Models: A Hybrid-AI Approach to Practical Electricity Price Forecasting
by: Qiu, Yunzhong, et al.
Published: (2026)
by: Qiu, Yunzhong, et al.
Published: (2026)
Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models
by: Cui, Zhiqing, et al.
Published: (2025)
by: Cui, Zhiqing, et al.
Published: (2025)
T-Retriever: Tree-based Hierarchical Retrieval Augmented Generation for Textual Graphs
by: Wei, Chunyu, et al.
Published: (2026)
by: Wei, Chunyu, et al.
Published: (2026)
Time Series Augmented Generation for Financial Applications
by: Kolonin, Anton, et al.
Published: (2026)
by: Kolonin, Anton, et al.
Published: (2026)
AME-TS: Anchored Mixture-of-Experts for Time Series Forecasting
by: Wang, Rui, et al.
Published: (2026)
by: Wang, Rui, et al.
Published: (2026)
Similar Items
-
Aura: Universal Multi-dimensional Exogenous Integration for Aviation Time Series
by: Lin, Jiafeng, et al.
Published: (2026) -
Thoth: Mid-Training Bridges LLMs to Time Series Understanding
by: Lin, Jiafeng, et al.
Published: (2026) -
DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
by: Li, Jinpeng, et al.
Published: (2026) -
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation
by: Yang, Silin, et al.
Published: (2024) -
Predictive Prefetching for Retrieval-Augmented Generation
by: Zhang, Wuyang, et al.
Published: (2026)