Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models.
Kelvin J. L. Koa|Yunshan Ma|Ritchie Ng|Tat-Seng Chua
| Anthology ID: | DBLP:conf/www/KoaMNC24 |
|---|---|
| Volume: | Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024 |
| Year: | 2024 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 4304-4315 |
| URL: | https://doi.org/10.1145/3589334.3645611 |
| DOI: | https://doi.org/10.1145/3589334.3645611 |
| DBLP: | conf/www/KoaMNC24 |
| BibTeX: |
@inproceedings{koa-2024-learning,
author = {Kelvin J. L. Koa and
Yunshan Ma and
Ritchie Ng and
Tat-Seng Chua},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{Learning to Generate Explainable Stock Predictions using Self-Reflective Large Language Models}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4304--4315},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3645611},
doi = {https://doi.org/10.1145/3589334.3645611}
}