A survey of large language models for healthcare: from data, technology, and applications to accountability and ethics
The utilization of large language models (LLMs) in the Healthcare domain has generated
both excitement and concern due to their ability to effectively respond to freetext queries with …
both excitement and concern due to their ability to effectively respond to freetext queries with …
Towards a psychological generalist ai: A survey of current applications of large language models and future prospects
The complexity of psychological principles underscore a significant societal challenge, given
the vast social implications of psychological problems. Bridging the gap between …
the vast social implications of psychological problems. Bridging the gap between …
User modeling in the era of large language models: Current research and future directions
User modeling (UM) aims to discover patterns or learn representations from user data about
the characteristics of a specific user, such as profile, preference, and personality. The user …
the characteristics of a specific user, such as profile, preference, and personality. The user …
LLM-empowered chatbots for psychiatrist and patient simulation: application and evaluation
Empowering chatbots in the field of mental health is receiving increasing amount of
attention, while there still lacks exploration in developing and evaluating chatbots in …
attention, while there still lacks exploration in developing and evaluating chatbots in …
Enhancing psychological counseling with large language model: A multifaceted decision-support system for non-professionals
In the contemporary landscape of social media, an alarming number of users express
negative emotions, some of which manifest as strong suicidal intentions. This situation …
negative emotions, some of which manifest as strong suicidal intentions. This situation …
Xai transformer based approach for interpreting depressed and suicidal user behavior on online social networks
A Malhotra, R Jindal - Cognitive Systems Research, 2024 - Elsevier
Online social networks can be used for mental healthcare monitoring using Artificial
Intelligence and Machine Learning techniques for detecting various mental health disorders …
Intelligence and Machine Learning techniques for detecting various mental health disorders …
Detection of multiple mental disorders from social media with two-stream psychiatric experts
Abstract Existing Mental Disease Detection (MDD) research largely studies the detection of
a single disorder, overlooking the fact that mental diseases might occur in tandem. Many …
a single disorder, overlooking the fact that mental diseases might occur in tandem. Many …
Evaluating the efficacy of supervised learning vs large language models for identifying cognitive distortions and suicidal risks in chinese social media
H Qi, Q Zhao, C Song, W Zhai, D Luo, S Liu… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models, particularly those akin to the rapidly progressing GPT series, are
gaining traction for their expansive influence. While there is keen interest in their …
gaining traction for their expansive influence. While there is keen interest in their …
Analyzing the use of large language models for content moderation with chatgpt examples
Content moderation systems are crucial in Online Social Networks (OSNs). Indeed, their role
is to keep platforms and their users safe from malicious activities. However, there is an …
is to keep platforms and their users safe from malicious activities. However, there is an …
Interpretable Imitation Learning with Dynamic Causal Relations
Imitation learning, which learns agent policy by mimicking expert demonstration, has shown
promising results in many applications such as medical treatment regimes and self-driving …
promising results in many applications such as medical treatment regimes and self-driving …