MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns.

YuJun Liu|Chen-Hui Song|Peiyuan Liu|Naiqi Li|Tao Dai|Jigang Bao|Yong Jiang|Shu-Tao Xia


Anthology ID:DBLP:conf/www/LiuSLL0BJX25
Volume:Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025
Year:2025
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:1148-1152
URL:https://doi.org/10.1145/3701716.3715513
DOI:https://doi.org/10.1145/3701716.3715513
DBLP:conf/www/LiuSLL0BJX25
BibTeX:
@inproceedings{liu-2025-mera, author = {YuJun Liu and Chen-Hui Song and Peiyuan Liu and Naiqi Li and Tao Dai and Jigang Bao and Yong Jiang and Shu-Tao Xia}, editor = {Guodong Long and Michale Blumestein and Yi Chang and Liane Lewin-Eytan and Zi Huang and Elad Yom-Tov}, title = {{MERA: Mixture of Experts with Retrieval-Augmented Representation for Modeling Diversified Stock Patterns}}, booktitle = {{Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025}}, pages = {1148--1152}, publisher = {ACM}, year = {2025}, url = {https://doi.org/10.1145/3701716.3715513}, doi = {https://doi.org/10.1145/3701716.3715513} }