[HTML][HTML] Large language models for wearable sensor-based human activity recognition, health monitoring, and behavioral modeling: a survey of early trends, datasets …
The proliferation of wearable technology enables the generation of vast amounts of sensor
data, offering significant opportunities for advancements in health monitoring, activity …
data, offering significant opportunities for advancements in health monitoring, activity …
Can large language models be good emotional supporter? mitigating preference bias on emotional support conversation
Emotional Support Conversation (ESC) is a task aimed at alleviating individuals' emotional
distress through daily conversation. Given its inherent complexity and non-intuitive nature …
distress through daily conversation. Given its inherent complexity and non-intuitive nature …
[HTML][HTML] Harnessing large language models over transformer models for detecting Bengali depressive social media text: A comprehensive study
In an era where the silent struggle of underdiagnosed depression pervades globally, our
research delves into the crucial link between mental health and social media. This work …
research delves into the crucial link between mental health and social media. This work …
Limitations of the LLM-as-a-Judge approach for evaluating LLM outputs in expert knowledge tasks
The potential of using Large Language Models (LLMs) themselves to evaluate LLM outputs
offers a promising method for assessing model performance across various contexts …
offers a promising method for assessing model performance across various contexts …
AdaCLF: An Adaptive Curriculum Learning Framework for Emotional Support Conversation
Emotional support conversation (ESC) aims to alleviate emotional distress using data-driven
approaches trained on human-generated responses. However, the subjective and open …
approaches trained on human-generated responses. However, the subjective and open …
Understanding the relationship between prompts and response uncertainty in large language models
Large language models (LLMs) are widely used in decision-making, but their reliability,
especially in critical tasks like healthcare, is not well-established. Therefore, understanding …
especially in critical tasks like healthcare, is not well-established. Therefore, understanding …
A client–server based recognition system: Non-contact single/multiple emotional and behavioral state assessment methods
Abstract Background and Objectives: In the current global health landscape, there is an
increasing demand for rapid and accurate assessment of mental states. Traditional …
increasing demand for rapid and accurate assessment of mental states. Traditional …
Zero-shot explainable mental health analysis on social media by incorporating mental scales
Traditional discriminative approaches in mental health analysis are known for their strong
capacity but lack interpretability and demand large-scale annotated data. The generative …
capacity but lack interpretability and demand large-scale annotated data. The generative …
Explainable AI for Stress and Depression Detection in the Cyberspace and Beyond
Stress and depression have emerged as prevalent challenges in contemporary society,
deeply intertwined with the complexities of modern life. This paper delves into the …
deeply intertwined with the complexities of modern life. This paper delves into the …
Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation
We present a comprehensive evaluation framework for assessing Large Language
Models'(LLMs) capabilities in suicide prevention, focusing on two critical aspects: the …
Models'(LLMs) capabilities in suicide prevention, focusing on two critical aspects: the …