Benchmarking large language models on cmexam-a comprehensive chinese medical exam dataset

J Liu, P Zhou, Y Hua, D Chong, Z Tian… - Advances in …, 2024 - proceedings.neurips.cc
Recent advancements in large language models (LLMs) have transformed the field of
question answering (QA). However, evaluating LLMs in the medical field is challenging due …

Can AI Relate: Testing Large Language Model Response for Mental Health Support

S Gabriel, I Puri, X Xu, M Malgaroli… - arXiv preprint arXiv …, 2024 - arxiv.org
Large language models (LLMs) are already being piloted for clinical use in hospital systems
like NYU Langone, Dana-Farber and the NHS. A proposed deployment use case is …

Depression Detection on Social Media with Large Language Models

X Lan, Y Cheng, L Sheng, C Gao, Y Li - arXiv preprint arXiv:2403.10750, 2024 - arxiv.org
Depression harms. However, due to a lack of mental health awareness and fear of stigma,
many patients do not actively seek diagnosis and treatment, leading to detrimental …

Sunnie: An Anthropomorphic LLM-Based Conversational Agent for Mental Well-Being Activity Recommendation

S Wu, F Han, B Yao, T Xie, X Zhao, D Wang - arXiv preprint arXiv …, 2024 - arxiv.org
A longstanding challenge in mental well-being support is the reluctance of people to adopt
psychologically beneficial activities, often due to a lack of motivation, low perceived …

IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being

A Gyrard, S Mohammadi, M Gaur, A Kung - arXiv preprint arXiv …, 2024 - arxiv.org
Sustainable Development Goals (SDGs) give the UN a road map for development with
Agenda 2030 as a target. SDG3" Good Health and Well-Being" ensures healthy lives and …

Equipping Llama with Google Query API for Improved Accuracy and Reduced Hallucination

YS Bae, HR Kim, JH Kim - 2024 - researchsquare.com
This study investigates the integration of the Llama 2 7b large language model (LLM) with
the Google Query API to enhance its accuracy and reduce hallucination instances. By …

ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models

H Zhao, L Li, S Chen, S Kong, J Wang, K Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
Emotion Support Conversation (ESC) is a crucial application, which aims to reduce human
stress, offer emotional guidance, and ultimately enhance human mental and physical well …

Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape App

S Nepal, A Pillai, W Campbell, T Massachi… - Extended Abstracts of …, 2024 - dl.acm.org
MindScape aims to study the benefits of integrating time series behavioral patterns (eg,
conversational engagement, sleep, location) with Large Language Models (LLMs) to create …

Optimizing Psychological Counseling with Instruction-Tuned Large Language Models

W Li, T Sun, K Qian, W Wang - arXiv preprint arXiv:2406.13617, 2024 - arxiv.org
The advent of large language models (LLMs) has significantly advanced various fields,
including natural language processing and automated dialogue systems. This paper …