Integrative modeling enables ChatGPT to achieve average level of human counselors performance in mental health Q&A.
Yinghui Huang|Weijun Wang|Jinyi Zhou|Liang Zhang|Jionghao Lin|Hui Liu|Xiangen Hu|Zongkui Zhou|Wanghao Dong
| Anthology ID: | DBLP:journals/ipm/HuangWZZLLHZD25 |
|---|---|
| Year: | 2025 |
| Venue: | Information Processing and Management |
| Pages: | 104152 |
| URL: | https://doi.org/10.1016/J.IPM.2025.104152 |
| DOI: | https://doi.org/10.1016/J.IPM.2025.104152 |
| DBLP: | journals/ipm/HuangWZZLLHZD25 |
| BibTeX: |
@article{huang-2025-integrative,
author = {Yinghui Huang and
Weijun Wang and
Jinyi Zhou and
Liang Zhang and
Jionghao Lin and
Hui Liu and
Xiangen Hu and
Zongkui Zhou and
Wanghao Dong},
title = {{Integrative modeling enables ChatGPT to achieve average level of human counselors performance in mental health Q&A}},
journal = {Information Processing and Management},
volume = {62},
number = {5},
pages = {104152},
year = {2025},
url = {https://doi.org/10.1016/J.IPM.2025.104152},
doi = {https://doi.org/10.1016/J.IPM.2025.104152}
}