3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.CL2026
Identifying Effective Strategies in Prompt Evolution for Stress and Emotion Prediction
SeungHyun Yi, Seungjun Yi, Sriram Sattiraju +12
Early stress detection and risk prediction are crucial for timely mental health assessment and support. While large language models have recently shown promise for social media str…
cs.HC2025
TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews
Huimin Xu, Seungjun Yi, Terence Lim +9
Thematic analysis (TA) is a widely used qualitative approach for uncovering latent meanings in unstructured text data. TA provides valuable insights in healthcare but is resource-i…
cs.CL2025★ 3 cited
LLM-TA: An LLM-Enhanced Thematic Analysis Pipeline for Transcripts from Parents of Children with Congenital Heart Disease
Muhammad Zain Raza, Jiawei Xu, Terence Lim +4
Thematic Analysis (TA) is a fundamental method in healthcare research for analyzing transcript data, but it is resource-intensive and difficult to scale for large, complex datasets…