The deployment of large language models (LLMs) within the healthcare sector has sparked
both enthusiasm and apprehension. These models exhibit the remarkable ability to provide …

With the advent of social media, an increasing number of netizens are sharing and reading
posts and news online. However, the huge volumes of misinformation (eg, fake news and …

Upon its release in late 2022, ChatGPT has brought a seismic shift in the entire landscape of
AI, both in research and commerce. Through instruction-tuning a large language model …

Sentiment analysis and emotion detection are important research topics in natural language
processing (NLP) and benefit many downstream tasks. With the widespread application of …

Advances in large language models (LLMs) have empowered a variety of applications.
However, there is still a significant gap in research when it comes to understanding and …

Highlights What are the main findings? Demonstrates the effectiveness of a novel multitask
learning (MTL) framework utilizing large language models (LLMs) for real-time analysis of …

Background Comprehensive session summaries enable effective continuity in mental health
counseling, facilitating informed therapy planning. However, manual summarization …

The use of machine learning (ML) to detect depression in online settings has emerged as an
important health and wellness use case. In particular, the use of deep learning methods for …

Large Language Models (LLMs) have become valuable assets in mental health, showing
promise in both classification tasks and counseling applications. This paper offers a …

The emergence of social media has made the spread of misinformation easier. In the
financial domain, the accuracy of information is crucial for various aspects of financial …