2.9k citations · 4.1k across the 30 of their papers we have counts for
8 papers · 1 filter
Rethinking Large Language Models in Mental Health Applications
Shaoxiong Ji, Tianlin Zhang, Kailai Yang +2
Large Language Models (LLMs) have become valuable assets in mental health, showing promise in both classification tasks and counseling applications. This paper offers a perspective…
Content Reduction, Surprisal and Information Density Estimation for Long Documents
Shaoxiong Ji, Wei Sun, Pekka Marttinen
Many computational linguistic methods have been proposed to study the information content of languages. We consider two interesting research questions: 1) how is information distri…
Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Pinzhen Chen, Shaoxiong Ji, Nikolay Bogoychev +3
Foundational large language models (LLMs) can be instruction-tuned to perform open-domain question answering, facilitating applications like chat assistants. While such efforts are…
A Bipartite Graph is All We Need for Enhancing Emotional Reasoning with Commonsense Knowledge
Kailai Yang, Tianlin Zhang, Shaoxiong Ji +1
The context-aware emotional reasoning ability of AI systems, especially in conversations, is of vital importance in applications such as online opinion mining from social media and…
Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health
Shaoxiong Ji, Tianlin Zhang, Kailai Yang +3
Pretrained language models have been used in various natural language processing applications. In the mental health domain, domain-specific language models are pretrained and relea…
Emotion fusion for mental illness detection from social media: A survey
Tianlin Zhang, Kailai Yang, Shaoxiong Ji +1
Mental illnesses are one of the most prevalent public health problems worldwide, which negatively influence people's lives and society's health. With the increasing popularity of s…
Towards Interpretable Mental Health Analysis with Large Language Models
Kailai Yang, Shaoxiong Ji, Tianlin Zhang +3
The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitation…
Knowledge-augmented Graph Neural Networks with Concept-aware Attention for Adverse Drug Event Detection
Shaoxiong Ji, Ya Gao, Pekka Marttinen
Adverse drug events (ADEs) are an important aspect of drug safety. Various texts such as biomedical literature, drug reviews, and user posts on social media and medical forums cont…