19 citations · 23 across the 7 of their papers we have counts for
7 papers
SynSym: A Synthetic Data Generation Framework for Psychiatric Symptom Identification
Migyeong Kang, Jihyun Kim, Hyolim Jeon +6
Psychiatric symptom identification on social media aims to infer fine-grained mental health symptoms from user-generated posts, allowing a detailed understanding of users' mental s…
Before and After ChatGPT: Revisiting AI-Based Dialogue Systems for Emotional Support
Daeun Lee, Dongje Yoo, Migyeong Yang +3
Mental health remains a major public health concern, while access to timely psychological support is often limited. AI-based dialogue systems have emerged as promising tools to add…
MentalBench: A DSM-Grounded Benchmark for Evaluating Psychiatric Diagnostic Capability of Large Language Models
Hoyun Song, Migyeong Kang, Jisu Shin +7
Large language models (LLMs) have attracted growing interest as supportive tools for psychiatric assessment and clinical decision support. However, existing mental health benchmark…
Gesture-Aware Zero-Shot Speech Recognition for Patients with Language Disorders
Seungbae Kim, Daeun Lee, Brielle Stark +1
Individuals with language disorders often face significant communication challenges due to their limited language processing and comprehension abilities, which also affect their in…
HiQuE: Hierarchical Question Embedding Network for Multimodal Depression Detection
Juho Jung, Chaewon Kang, Jeewoo Yoon +2
The utilization of automated depression detection significantly enhances early intervention for individuals experiencing depression. Despite numerous proposals on automated depress…
A Dual-Prompting for Interpretable Mental Health Language Models
Hyolim Jeon, Dongje Yoo, Daeun Lee +3
Despite the increasing demand for AI-based mental health monitoring tools, their practical utility for clinicians is limited by the lack of interpretability.The CLPsych 2024 Shared…
Learning Co-Speech Gesture for Multimodal Aphasia Type Detection
Daeun Lee, Sejung Son, Hyolim Jeon +2
Aphasia, a language disorder resulting from brain damage, requires accurate identification of specific aphasia types, such as Broca's and Wernicke's aphasia, for effective treatmen…