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}
}