RATSF: Empowering Customer Service Volume Management through Retrieval-Augmented Time-Series Forecasting
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Tianfeng, Cui, Gaojie |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Retrieval Augmented Time Series Forecasting
by: Han, Sungwon, et al.
Published: (2025)
by: Han, Sungwon, et al.
Published: (2025)
Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting
by: Ahuja, Rishi, et al.
Published: (2026)
by: Ahuja, Rishi, et al.
Published: (2026)
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026)
by: Tang, Xing, et al.
Published: (2026)
Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
by: Deznabi, Iman, et al.
Published: (2025)
by: Deznabi, Iman, et al.
Published: (2025)
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven
by: Zhang, Dandan, et al.
Published: (2024)
by: Zhang, Dandan, et al.
Published: (2024)
RADAR: Recall Augmentation through Deferred Asynchronous Retrieval
by: Jaspal, Amit, et al.
Published: (2025)
by: Jaspal, Amit, et al.
Published: (2025)
Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answering
by: Xu, Zhentao, et al.
Published: (2024)
by: Xu, Zhentao, et al.
Published: (2024)
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation
by: Li, Zhaoxing, et al.
Published: (2025)
by: Li, Zhaoxing, et al.
Published: (2025)
Budget-Constrained Online Retrieval-Augmented Generation: The Chunk-as-a-Service Model
by: Al-Maliki, Shawqi, et al.
Published: (2026)
by: Al-Maliki, Shawqi, et al.
Published: (2026)
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series Forecasting
by: Yu, Liang, et al.
Published: (2025)
by: Yu, Liang, et al.
Published: (2025)
FAiT: Frequency-Aware Inverted Transformer for Multivariate Time Series Forecasting
by: He, Peng, et al.
Published: (2026)
by: He, Peng, et al.
Published: (2026)
TLCCSP: A Scalable Framework for Enhancing Time Series Forecasting with Time-Lagged Cross-Correlations
by: Wu, Jianfei, et al.
Published: (2025)
by: Wu, Jianfei, et al.
Published: (2025)
Leveraging Retrieval-Augmented Generation for Persian University Knowledge Retrieval
by: Hemmat, Arshia, et al.
Published: (2024)
by: Hemmat, Arshia, et al.
Published: (2024)
Tackling Data Heterogeneity in Federated Time Series Forecasting
by: Yuan, Wei, et al.
Published: (2024)
by: Yuan, Wei, et al.
Published: (2024)
Context Awareness Gate For Retrieval Augmented Generation
by: Heydari, Mohammad Hassan, et al.
Published: (2024)
by: Heydari, Mohammad Hassan, et al.
Published: (2024)
MoTime: A Dataset Suite for Multimodal Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2025)
by: Zhou, Xin, et al.
Published: (2025)
Universal Model in Online Customer Service
by: Pi, Shu-Ting, et al.
Published: (2024)
by: Pi, Shu-Ting, et al.
Published: (2024)
Contradictions in Context: Challenges for Retrieval-Augmented Generation in Healthcare
by: Javadi, Saeedeh, et al.
Published: (2025)
by: Javadi, Saeedeh, et al.
Published: (2025)
RAG-Fusion: a New Take on Retrieval-Augmented Generation
by: Rackauckas, Zackary
Published: (2024)
by: Rackauckas, Zackary
Published: (2024)
Retrieval-Augmented Generation for Predicting Cellular Responses to Gene Perturbation
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2026)
by: Di Francesco, Andrea Giuseppe, et al.
Published: (2026)
MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation
by: Yu, Qinhan, et al.
Published: (2025)
by: Yu, Qinhan, et al.
Published: (2025)
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora
by: Zhang, Fangyuan, et al.
Published: (2025)
by: Zhang, Fangyuan, et al.
Published: (2025)
Defending Against Knowledge Poisoning Attacks During Retrieval-Augmented Generation
by: Edemacu, Kennedy, et al.
Published: (2025)
by: Edemacu, Kennedy, et al.
Published: (2025)
Temporal Streaming Batch Principal Component Analysis for Time Series Classification
by: Yan, Enshuo, et al.
Published: (2024)
by: Yan, Enshuo, et al.
Published: (2024)
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs
by: Hu, Yuntong, et al.
Published: (2025)
by: Hu, Yuntong, et al.
Published: (2025)
RGL: A Graph-Centric, Modular Framework for Efficient Retrieval-Augmented Generation on Graphs
by: Li, Yuan, et al.
Published: (2025)
by: Li, Yuan, et al.
Published: (2025)
Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization
by: Zamani, Hamed, et al.
Published: (2024)
by: Zamani, Hamed, et al.
Published: (2024)
Scalable Transformer for High Dimensional Multivariate Time Series Forecasting
by: Zhou, Xin, et al.
Published: (2024)
by: Zhou, Xin, et al.
Published: (2024)
ChatDiet: Empowering Personalized Nutrition-Oriented Food Recommender Chatbots through an LLM-Augmented Framework
by: Yang, Zhongqi, et al.
Published: (2024)
by: Yang, Zhongqi, et al.
Published: (2024)
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation
by: Wi, Hyowon, et al.
Published: (2023)
by: Wi, Hyowon, et al.
Published: (2023)
Retrieval-Augmented Generation with Graphs (GraphRAG)
by: Han, Haoyu, et al.
Published: (2024)
by: Han, Haoyu, et al.
Published: (2024)
AGRAG: Advanced Graph-based Retrieval-Augmented Generation for LLMs
by: Wang, Yubo, et al.
Published: (2025)
by: Wang, Yubo, et al.
Published: (2025)
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Event-Centric World Modeling with Memory-Augmented Retrieval for Embodied Decision-Making
by: Fan, Zhaowen, et al.
Published: (2026)
by: Fan, Zhaowen, et al.
Published: (2026)
Counterfactual Understanding via Retrieval-aware Multimodal Modeling for Time-to-Event Survival Prediction
by: Nguyen, Ha-Anh Hoang, et al.
Published: (2026)
by: Nguyen, Ha-Anh Hoang, et al.
Published: (2026)
Distribution Agnostic Symbolic Representations for Time Series Dimensionality Reduction and Online Anomaly Detection
by: Bountrogiannis, Konstantinos, et al.
Published: (2021)
by: Bountrogiannis, Konstantinos, et al.
Published: (2021)
SBI-RAG: Enhancing Math Word Problem Solving for Students through Schema-Based Instruction and Retrieval-Augmented Generation
by: Dixit, Prakhar, et al.
Published: (2024)
by: Dixit, Prakhar, et al.
Published: (2024)
OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction
by: Weng, Yunpeng, et al.
Published: (2024)
by: Weng, Yunpeng, et al.
Published: (2024)
Accelerating Retrieval-Augmented Language Model Serving with Speculation
by: Zhang, Zhihao, et al.
Published: (2024)
by: Zhang, Zhihao, et al.
Published: (2024)
Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Similar Items
-
Retrieval Augmented Time Series Forecasting
by: Han, Sungwon, et al.
Published: (2025) -
Retrieval Mechanisms Surpass Long-Context Scaling in Time Series Forecasting
by: Ahuja, Rishi, et al.
Published: (2026) -
Retrieve-then-Adapt: Retrieval-Augmented Test-Time Adaptation for Sequential Recommendation
by: Tang, Xing, et al.
Published: (2026) -
Resolution-Aware Retrieval Augmented Zero-Shot Forecasting
by: Deznabi, Iman, et al.
Published: (2025) -
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven
by: Zhang, Dandan, et al.
Published: (2024)