MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models.
Kailai Yang|Tianlin Zhang|Ziyan Kuang|Qianqian Xie|Jimin Huang|Sophia Ananiadou
| Anthology ID: | DBLP:conf/www/YangZKXHA24 |
|---|---|
| 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: | 4489-4500 |
| URL: | https://doi.org/10.1145/3589334.3648137 |
| DOI: | https://doi.org/10.1145/3589334.3648137 |
| DBLP: | conf/www/YangZKXHA24 |
| BibTeX: |
@inproceedings{yang-2024-mentallama,
author = {Kailai Yang and
Tianlin Zhang and
Ziyan Kuang and
Qianqian Xie and
Jimin Huang and
Sophia Ananiadou},
editor = {Tat-Seng Chua and
Chong-Wah Ngo and
Ravi Kumar and
Hady Wirawan Lauw and
Roy Ka-Wei Lee},
title = {{MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models}},
booktitle = {{Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024}},
pages = {4489--4500},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3589334.3648137},
doi = {https://doi.org/10.1145/3589334.3648137}
}