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Recent large language models (LLMs) offer the potential to support public health monitoring by facilitating health disclosure through open-ended conversations but rarely preserve the knowledge gained about individuals across repeated interactions.
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Delivering Cognitive Behavior Therapy to Young Adults With Symptoms of Depression and Anxiety Using a Fully Automated Conversational Agent (Woebot): A Randomized Controlled Trial
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NAVER launches AI call service aimed at seniors - The Korea Herald
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Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study
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Feedpal: Understanding Opportunities for Chatbots in Breastfeeding Education of Women in India
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How Should My Chatbot Interact? A Survey on Social Characteristics in Human–Chatbot Interaction Design
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Korea Law Translation Center. 2020 · 2020
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Designing a Chatbot as a Mediator for Promoting Deep Self-Disclosure to a Real Mental Health Professional
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”I Hear You, I Feel You”: Encouraging Deep Self-disclosure through a Chatbot. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . ACM, Honolulu HI USA, 1–12
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As States Reopen, Do They Have The Workforce They Need To Stop Coronavirus Outbreaks?
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Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems . ACM, New York, NY, USA, 1–16
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Prompted LLMs as Chatbot Modules for Long Open-domain Conversation. In Findings of the Association for Computational Linguistics: ACL 2023 . Association for Computational Linguistics, Toronto, Canada, 4536–4554
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LLaMA: Open and Efficient Foundation Language Models
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A Survey of Large Language Models
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Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data
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