Papers by Young Cho
An “Integrative Survey on Mental Health Conversational Agents to Bridge Computer Science and Medical Perspectives” (2023.emnlp-main)
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| Challenge: | Mental health conversational agents (a.k.a. chatbots) are widely studied for their potential to offer accessible support to those experiencing mental health challenges. |
| Approach: | They review 534 papers on building mental health-related conversational agents . they recommend a few recommendations to bridge the disciplinary divide . |
| Outcome: | The systematic review reveals 136 key papers on building mental health-related conversational agents with diverse characteristics of modeling and experimental design techniques. |
Intelligent Predictive Maintenance RAG framework for Power Plants: Enhancing QA with StyleDFS and Domain Specific Instruction Tuning (2024.emnlp-industry)
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Seongtae Hong, Joong Shin, Jaehyung Seo, Taemin Lee, Jeongbae Park, Cho Young, Byeongho Choi, Heuiseok Lim
| Challenge: | Existing off-premise Question-Answering systems based on Large Language Models face data leakage and domain-specific tuning challenges. |
| Approach: | They propose an on-premise intelligent PMS framework based on a chunking method . they propose instruction tuning using relevant domain-specific data improves LLM performance . |
| Outcome: | The proposed framework improves performance even under limited data conditions. |