DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction.

Zimo Wen|Hanwen Hu|Nan Fang|Shiyou Qian|Jian Cao


Anthology ID:DBLP:conf/cikm/WenHFQ025
Volume:Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Year:2025
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:3302-3311
URL:https://doi.org/10.1145/3746252.3761012
DOI:https://doi.org/10.1145/3746252.3761012
DBLP:conf/cikm/WenHFQ025
BibTeX:
@inproceedings{wen-2025-danet, author = {Zimo Wen and Hanwen Hu and Nan Fang and Shiyou Qian and Jian Cao}, editor = {Meeyoung Cha and Carl Yang and Senjuti Basu Roy and Chanyoung Park and Zhenhui Jessie Li and Noseong Park and Carl Yang and Senjuti Basu Roy and Zhenhui Jessie Li and Jaap Kamps and Kijung Shin and Bryan Hooi and Lifang He}, title = {{DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction}}, booktitle = {{Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025}}, pages = {3302--3311}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3746252.3761012}, doi = {https://doi.org/10.1145/3746252.3761012} }