MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models-Reference-Cited by-同舟云学术

MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models

Published:2024-05-13 Issue: Volume:35 Page:4489-4500
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Container-title:Proceedings of the ACM Web Conference 2024
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Author:

Yang Kailai¹^ORCID,Zhang Tianlin¹^ORCID,Kuang Ziyan²^ORCID,Xie Qianqian¹^ORCID,Huang Jimin³^ORCID,Ananiadou Sophia¹^ORCID

Affiliation:

1. The University of Manchester, Manchester, United Kingdom

2. Jiangxi Normal University, Nanchang, China

3. Wuhan University, Wuhan, China

Funder

The University of Manchester

New Energy and Industrial Technology Development Organization

Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3589334.3648137

Reference48 articles.

1. Will Affective Computing Emerge From Foundation Models and General Artificial Intelligence? A First Evaluation of ChatGPT

2. Detecting and Characterizing Mental Health Related Self-Disclosure in Social Media

3. Ethical Research Protocols for Social Media Health Research

4. Tom Brown Benjamin Mann Nick Ryder Melanie Subbiah Jared D Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell et al. 2020. Language models are few-shot learners. Advances in neural information processing systems Vol. 33 (2020) 1877--1901.

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